Renesas Introduces Ultra-Low-Power RL78/L23 MCUs for Next-Generation Smart Home Appliances
  Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today introduced the new 16-bit RL78/L23 microcontroller (MCU) group, expanding its low-power RL78 family. Running at 32MHz, the RL78/L23 MCUs combine industry-leading low-power performance with essential features such as dual-bank flash memory, segment LCD control, and capacitive touch functionality to support smart home appliances, consumer electronics, IoT and metering systems. These compact, cost-effective devices address the performance and power requirements of modern display-based human-machine interface (HMI) applications.  Ultra-Low Power Operation with Optimized LCD Performance  The RL78/L23 is optimized for ultra-low power consumption and ideal for battery-powered applications that spend the majority of time in standby. They offer an active current of just 109μA/MHz and a standby current as low as 0.365μA, along with a fast 1μs wake-up time to help minimize CPU activity. The LCD controller’s new reference mode, VL4, reduces LCD operating current by approximately 30 percent when compared to the existing RL78/L1X group. The MCUs come with SMS (SNOOZE Mode Sequencer), which enables dynamic LCD segment display without CPU intervention. By offloading tasks to the SMS, the devices minimize CPU wake-ups and contribute to system-level power savings. These innovations significantly extend battery life, simplify design and reduce replacement costs, while minimizing environmental impact.  The RL78/L23 offers a wide operating voltage range of 1.6V to 5.5V, which supports direct operation from 5V power supplies commonly used in home appliances and industrial systems. This capability reduces the need for external voltage regulators. The MCUs also integrate key components such as capacitive touch sensing, a temperature sensor, and internal oscillator, reducing BOM cost and PCB size.  Feature-Rich Peripherals for HMI Systems  Designed to meet the dynamic requirements of the HMI market, RL78/L23 integrates a suite of advanced features in a compact, cost-effective package. Its built-in segment LCD controller and capacitive touch realize sleek, responsive user interfaces for products such as induction cooktops and HVAC systems. The IH timer (Timer KB40) enables precise multi-channel heat control, which is essential in smart kitchen appliances such as rice cookers and IH cooktops. The devices include dual-bank flash memory for seamless firmware updates via FOTA (Firmware Over-the-Air), allowing continuous system operation in applications like metering, where downtime must be minimized. The dual-bank architecture allows one memory bank to run the user program, while the other receives updates. This approach keeps the system functional throughout the process for improved reliability.  “The Renesas RL78 Family of 16-bit microcontrollers has been one of the most successful products since its launch more than 10 years ago, particularly in home appliances,” said Daryl Khoo, Vice President of Embedded Processing at Renesas. “I’m pleased to announce the RL78/L23, a new generation of RL78 microcontrollers with rich features, ideally suited for smart home appliances and cost-sensitive IoT solutions. With these devices, we aim to provide a better user experience with our intuitive development environment so that customers can get to production faster with confidence, based on market-proven Renesas technologies.”  Key Features of the RL78/L23  16-bit RL78 microcontroller running at 32MHz  Built-in segment LCD controller and capacitive touch  Up to 512KB of dual-bank flash memory for seamless FOTA  Up to 32KB of SRAM and 8KB of data flash  SMS for ultra-low power operation  IH Timer (KB40) supporting up to 3-channel induction heating control  Wide operating voltage range from 1.6V to 5.5V  Operating temperature range of -40°C to +105°C  Multiple serial interfaces including UART, I2C, CSI  IEC60730-compliant self-test library  44-100-pin LFQFP, LQFP and HWQFN packages  Intuitive Development Environment for Faster Time-to-Market  The RL78/L23 comes with an easy-to-use development environment. Developers can leverage robust support tools such as Smart Configurator and QE for Capacitive Touch to streamline system design. Renesas offers the RL78/L23 Fast Prototyping Board which is compatible with Arduino IDE, and a capacitive touch evaluation system for in-depth testing and validation.  Winning Combinations  Renesas offers Induction Heating Rice Cooker Solution which combines the new RL78/L23 devices with numerous compatible devices from its portfolio to offer a wide array of Winning Combinations. Winning Combinations are technically vetted system architectures from mutually compatible devices that work together seamlessly to bring an optimized, low-risk design for faster time to market. Renesas offers more than 400 Winning Combinations with a wide range of products from the Renesas portfolio to enable customers to speed up the design process and bring their products to market more quickly. They can be found at renesas.com/win.  Availability  The RL78/L23 MCUs are available today, along with the Fast Prototyping Board (FPB-RL78L23) and the capacitive touch evaluation system (RSSK-RL78L23). 
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Release time:2025-08-27 15:18 reading:221 Continue reading>>
Renesas Expands MCU/MPU Portfolio to Meet New Processing Needs of Edge AI
  Artificial intelligence at the IoT edge is redefining how connected devices capture, process, and analyze data to render actionable outcomes in a variety of consumer and industrial applications. Unlike AI cloud servers, where power, data latency, and security management are prime design considerations, AIoT moves intelligence closer to the data source to enable real-time, in-situ decision-making with enhanced privacy and lower energy use.  Despite its promise, AI at the IoT edge carries significant engineering challenges. Traditional AI models are computationally intensive. They require large amounts of memory and power, which resource-constrained IoT devices, often battery-operated with limited processing capacity, cannot easily support. Instead, designers need highly optimized, lightweight neural network models that run efficiently on microcontrollers, microprocessors, and other low-power hardware without sacrificing performance or accuracy.  Managing AIoT Processing with TinyML Models  Because it is inherently decentralized, AIoT reduces dependency on cloud servers while instantly acting upon real-time analytics and boosting security by keeping data local. This makes the process of outfitting factory equipment with predictive maintenance easier by embedding machine learning (ML) models within local sensors to detect anomalies or faults without waiting for cloud analysis. Smart home devices with AI-enhanced voice interfaces can perform instant keyword recognition and natural language understanding without sending sensitive audio data over the network.  Similar to a trend underway in AI data centers, AIoT at the edge is also evolving to handle the proliferation of inference modeling. If data is the fuel for intelligent, real-time decision making, then AI inference is the engine that processes pre-trained ML models directly on edge devices.  Data center AI inference modeling has a unique set of computational requirements best served by powerful parallel processors that can train large language models (LLMs) models that may have billions of parameters. On the other end of the spectrum, edge AIoT technologies like TinyML minimize memory requirements and computing overhead, making real-time analytics feasible for battery-powered IoT endpoints. Moreover, TinyML inference modeling enables multi-modal applications, combining voice, vision, and sensor data for advanced use cases like environmental monitoring and autonomous navigation.  Real-time data processing is another function complicated by the memory limitations, modest energy budgets, and thermal constraints of edge AIoT. Many consumer and industrial applications, such as smart home voice recognition and autonomous sensors, demand ultra-low latency responses. Cloud-based AI struggles to meet these requirements due to network delays, making on-device inference essential. Engineers must also ensure data security and privacy by embedding strong encryption and root-of-trust mechanisms directly at the endpoint.  Tools like TinyML are critical for overcoming these barriers and enabling compact machine learning models that operate efficiently on IoT hardware while extending battery life.  Renesas Optimizes New MCUs and MPUs for Edge AIoT  To better serve edge AIoT applications, Renesas recently expanded its processor portfolio, introducing new high-performance, low-power MCUs and MPUs with integrated neural processing units (NPUs) purpose-built for AI computing.  The 32-bit Renesas RA8P1 MCU is designed for voice and vision edge AI applications and features dual Arm® cores, the 1GHz Cortex®-M85 and 250MHz Cortex-M33, and an Arm Ethos™-U55 NPU that delivers up to 256GOPS of AI performance. For security, the new MCU supports the Arm TrustZone® secure execution environment, hardware root-of-trust, secure boot, and advanced cryptographic engines, ensuring safe deployment in critical edge applications.  Renesas also introduced the 64-bit RZ/G3E MPU for high-performance edge AIoT and human machine interfaces, combining a quad-core Arm Cortex-A55 CPU, Cortex-M33, and advanced graphics. The RZ/G3E embeds an Arm Ethos-U55 NPU to offload the main CPU by delivering up to 512GOPS of AI performance for image classification, voice recognition, and anomaly detection.  Arm NPUs Right-Size Power and Performance for AIoT Applications  The Arm Ethos-U55 NPU supports popular neural network models like ResNet, DS-CNN, and MobileNet with up to 35x faster inference compared to CPU-only processing. Unlike GPUs that burn tens to hundreds of watts on high-throughput, parallel computing, the Ethos-U55 delivers hardware-accelerated inference at milliwatt-level power, making it ideal for IoT edge devices.  The Arm NPU supports compressed and quantized neural networks, reducing memory and compute overhead to allow for real-time, localized AI processing. In contrast, GPUs excel at training large models but are impractical for edge deployments due to size, cost, and energy use.  Integrated RUHMI Framework and e² studio Streamline AI Edge Development  The new MCU and MPU are both supported by the Renesas e² studio integrated development environment and incorporate Renesas' RUHMI Framework to accelerate edge AIoT design. RUHMI (Robust Unified Heterogeneous Model Integration) is an end-to-end toolset and Renesas' first comprehensive MCU/MPU framework for simplifying AI workloads on resource-constrained devices. RUHMI supports leading ML formats like TensorFlow™ Lite, PyTorch®, and ONNX, enabling developers to import and optimize pre-trained models for high-performance, low-power edge AI deployments.  The RUHMI framework is enhanced by Renesas' e² studio, which provides intuitive tools, sample applications, and debugging features. When used together, they help developers more easily handle pre-processing of image and audio data, execute inference on the NPU, and post-process results within a unified environment.  Edge AIoT Relies on Processors with Low Power and High Compute Density  Grand View Research reports that the global edge AI market recorded sales of more than $20 billion in 2024, on its way to nearly $66.5 billion by 2030, driven by demand for real-time data processing and analysis at the network edge.  Increasingly, MCUs and MPUs are the preferred choice for edge AIoT vision and voice applications due to low power consumption, localized processing, and cost efficiency. Unlike GPUs, which require cloud connectivity and high power, MCUs and MPUs can process data directly at the endpoint, enabling real-time inference and decision-making without network delays. By keeping sensitive data on-device, these processors also enhance security and privacy, eliminating the need for constant cloud communication.  This combination of speed, energy efficiency, and data security makes MCUs and MPUs ideal for wearables, smart homes, and industrial edge AI systems.  Future Efforts Will Prioritize HD Vision, Security, and a Robust IoT Supply Chain  As we right-size support for our processor ecosystem using highly efficient TinyML models, Renesas is also developing MPUs for Vision Transformer (ViT) networks. This form of deep learning applies Transformer models originally designed for natural language processing to computer vision, but unlike power-hungry GPUs, ViTs process high-resolution images and videos without the need for cooling fans.  Renesas is also creating zero-touch security solutions such as post-quantum cryptography (PQC), which secures against attacks from both classic and quantum computers to better defend against a widening range of cyber threats.  As we foster AI-accelerated hardware, software, and tool chain development, Renesas remains committed to supporting legacy (non-AI) products and the open-source software environment that powers much of today's IoT systems. By collaborating with our partner ecosystem to keep abreast of the rapidly changing IoT landscape, we can better help our customers design sustainable, smart, secure, and connected systems safely and reliably.
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Release time:2025-08-25 14:59 reading:284 Continue reading>>
New Renesas USB-C Power Solution with Innovative Three-Level Topology Improves Performance and Reduces System Size
  Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today introduced the RAA489300/RAA489301 high-performance buck controller designed with a three-level buck topology used for battery charging and voltage regulation in USB-C systems such as multiple-port USB-PD chargers, portable power stations, PC docking station, robots, drones, and other applications that need a high efficiency DC/DC controller.  The three-level buck converter topology enabled by the new IC delivers exceptional efficiency and significantly reduces the required inductance for regulating the output voltage. Its innovative design minimizes power loss and reduces system size, making it ideal for compact, high-performance applications.  The three-level topology consists of two additional switches and a flying capacitor compared to a conventional two-level buck converter. The flying capacitor reduces voltage stress on the switches, allowing designers to use lower voltage FETs with better figures of merit. The result is reduced conduction and switching losses. This topology also enables the use of a smaller inductor with peak-to-peak ripple of only about 25 percent of that of a two-level converter, enabling reduced inductor core and direct current resistance losses.  Renesas is a worldwide leader in USB-PD solutions, offering a comprehensive range of products, including turnkey solutions for various applications. Renesas helps customers shorten their time-to-market with an extensive development environment and pre-certified USB-IF reference designs. Renesas USB-PD solutions offer superior quality and safety, along with high efficiency and power density.  “This three-level buck topology solution is a prime example of Renesas’ worldwide leadership in battery charging,” said Gaurang Shah, Vice President of the Power Division at Renesas. “The innovative technology includes patent-pending breakthroughs that offer our customers clear advantages over competing USB-C power offerings.”  The 3-Level DC-DC RAA489300/RAA489301 battery charger and voltage regulator offers superior thermal performance, which reduces cooling requirements and results in cost and space savings. This innovative approach addresses the growing demand for compact and efficient power management systems.  Key Features of the RAA489300/RAA489301 battery charger and voltage regulator  Wide range of input and output voltages for use in voltage battery packs and with various PD adapters  Integrated safety features with built-in protection mechanisms against overcharging, overheating, and voltage anomalies  Scalability for easily adapting to various power levels and application requirements  Optimized switching architecture divides the voltage across power switches, improving efficiency  Minimizes power consumption, contributing to greener, more sustainable designs  Lower thermal stress improves system reliability and extends product lifespan  Winning Combinations  Renesas offers the RTK-251-SinkCharger-240W and the 240W Dual-Port Daughter Card Winning Combinations that minimize the effort required for customers to design USB-C battery charging into their products. Winning Combinations are technically vetted system architectures from mutually compatible devices that work together seamlessly to bring an optimized, low-risk design for faster time to market. Renesas offers more than 400 Winning Combinations with a wide range of products from the Renesas portfolio to enable customers to speed up the design process and bring their products to market more quickly.   Device Availability  The RAA489300/RAA489301 is available today in a 4×4 mm 32-lead TQFN package. Comprehensive design support and tools, including the RTK-251-SinkCharger-240W Kit and the RTKA489300DE0000BU Evaluation Board, are also available.
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Release time:2025-08-20 11:46 reading:440 Continue reading>>
Renesas Introduces 64-bit RZ/G3E MPU for High-Performance HMI Systems Requiring AI Acceleration and Edge Computing
  Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, announced the launch of its new 64-bit RZ/G3E microprocessor (MPU), a general-purpose device optimized for high-performance Human Machine Interface (HMI) applications. Combining a quad-core Arm® Cortex®-A55 running at up to 1.8GHz with a Neural Processing Unit (NPU), the RZ/G3E brings high-performance edge computing with AI inference for faster, more efficient local processing. With Full HD graphics support and high-speed connectivity, the MPU targets HMI systems for industrial and consumer segments including factory equipment, medical monitors, retail terminals and building automation.  High-Performance Edge Computing and HMI Capabilities  At the heart of the RZ/G3E is a quad-core Arm Cortex-A55, a Cortex-M33 core, and the Ethos™-U55 NPU for AI tasks. This architecture efficiently runs AI applications such as image classification, object recognition, voice recognition and anomaly detection while minimizing CPU load. Designed for HMI applications, it delivers smooth Full HD (1920x1080) video at 60fps on two independent displays, with output interfaces including LVDS (dual-link), MIPI-DSI, and parallel RGB. A MIPI-CSI camera interface is also available for video input and sensing applications.  “The RZ/G3E builds on the proven performance of the RZ/G series with the addition of an NPU to support AI processing,” said Daryl Khoo, Vice President of Embedded Processing at Renesas. “By using the same Ethos-U55 NPU as our recently announced RA8P1 microcontroller, we’re expanding our AI embedded processor portfolio and offering a scalable path forward for AI development. These advancements address the demands of next-generation HMI applications across vision, voice and real-time analytics with powerful AI capabilities.”  The RZ/G3E is equipped with a range of high-speed communication interfaces essential for edge devices. These include PCI Express 3.0 (2 lanes) for up to 8Gbps, USB 3.2 Gen2 for fast 10Gbps data transfer, and dual-channel Gigabit Ethernet for seamless connectivity with cloud services, storage, and 5G modules.  Low-Power Standby with Fast Linux Resume  Starting with the third-generation RZ/G3S, the RZ/G series includes advanced power management features to significantly reduce standby power. The RZ/G3E maintains sub-CPU operation and peripheral functions while achieving low power consumption around 50mW and around 1mW in deep standby mode. It supports DDR self-refresh mode to retain memory data, enabling quick wake-up from deep standby for running Linux applications.  Comprehensive Linux Software Support  Renesas continues to offer the Verified Linux Package (VLP) based on the reliable Civil Infrastructure Platform, with over 10 years of maintenance support. For users requiring the latest versions, Renesas provides Linux BSP Plus, including support for the latest LTS Linux kernel and Yocto. Ubuntu by Canonical and Debian open-source OS are also available for server or desktop Linux environments.  Key Features of RZ/G3E  CPU: Quad-core Cortex-A55 (up to 1.8GHz), Cortex-M33  NPU: Ethos-U55 (512 GOPS)  HMI: Dual Full HD output, MIPI-DSI / Dual-link LVDS / Parallel RGB, 3D graphics, H.264/H.265 codec  Memory Interface: 32-bit LPDDR4/LPDDR4X with ECC  Connectivity for 5G Communication: PCIe 3.0 (2 lanes), USB 3.2 Gen2, USB 2.0 x2, Gigabit Ethernet x2, CAN-FD  Operating Temperature: -40°C to 125°C  Package Options: 15mm square 529-pin FCBGA, 21mm square 625-pin FCBGA  Product Longevity: 15-year supply under Product Longevity Program (PLP)  System-on-Module Solutions from Renesas and Ecosystem Partners  Renesas has also introduced system-on-module (SoM) solutions featuring the RZ/G3E. A broad range of SoM solutions will be available from Renesas’ ecosystem partners such as a SMARC module from Tria, an OSM (Size-M) from ARIES Embedded, and an OSM (Size-L) from MXT.  Winning Combinations  Renesas combined the RZ/G3E with other compatible devices to develop Full HD Dual-Display HMI Platform and Digital Otoscope solutions. These Winning Combinations are technically vetted system architectures from mutually compatible devices that work together seamlessly to bring an optimized, low-risk design for faster time to market. Renesas offers more than 400 Winning Combinations with a wide range of products from the Renesas portfolio to enable customers to speed up the design process and bring their products to market more quickly. They can be found at renesas.com/win.  Availability  The RZ/G3E is available today, along with the Evaluation Board Kit. The kit includes a SMARC v2.1.1 module board and a carrier board.If you want to buy related products, you can contact AMEYA360's customer service.
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Release time:2025-07-30 15:09 reading:586 Continue reading>>
Renesas Announces Establishment of New Subsidiary and Changes as Specified Subsidiary
  Renesas Electronics Corporation (TSE: 6723, "Renesas"), a premier supplier of advanced semiconductor solutions,  announced the establishment of a new subsidiary (the “New Subsidiary”) in the United States as a holding company for its Software & Digitalization business. The New Subsidiary is expected to be classified as a specified subsidiary of Renesas.  1. Purpose of Establishing the New Subsidiary  In January 2024, Renesas established a new organization dedicated to software and digitalization, accelerating efforts in these fields. As part of this initiative, Renesas acquired Altium Limited ("Altium", Note) in August 2024 and is working together with Altium as one team to establish an integrated and open “electronics system design and lifecycle management platform” to make electronics design accessible to a broader market to allow more innovation. In January 2025, Altium’s acquisition of Part Analytics, Inc., a supply chain management company, marked another step toward realizing Renesas’ Digitalization Vision.  To further strengthen and grow its Software & Digitalization business, Renesas plans to establish a holding company as its wholly owned subsidiary in the first quarter ending March 31,2026, to oversee the management of its subsidiaries related to this business. Following the necessary procedures, Renesas intends to consolidate the shares of its Software & Digitalization-related subsidiaries, including Altium, under the New Subsidiary. The New Subsidiary's net assets are expected to exceed 30 percent of Renesas' total equity, and, as a result, it will be treated as a specified subsidiary of Renesas. By centrally managing its Software & Digitalization-related subsidiaries under the New Subsidiary, Renesas aims to enhance governance and operational efficiency, while building a structure that can flexibly respond to future business development and internal resource allocation.  2. Overview of the Specified Subsidiary  3. Future Outlook  There is no material impact on Renesas' consolidated financial results for the fiscal year ending December 31, 2025. Renesas will make an announcement in a timely manner should any matters requiring disclosure arise in the future.  (Note) Altium Limited has changed its corporate name to Altium Pty Ltd, effective December 12, 2024.
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Release time:2025-07-28 14:40 reading:428 Continue reading>>
Renesas Debuts Best-in-Class MCUs Optimized for Single-Motor Applications Including Power Tools, Home Appliances and More
  Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions,introduced the RA2T1 microcontroller (MCU) group based on the Arm® Cortex®-M23 processor optimized for motor control systems in July9. RA2T1 devices are specifically designed for single-motor applications such as fans, power tools, vacuum cleaners, refrigerators, printers, hair dryers and many more.  Feature Set Optimized for Motor Control  The new RA2T1 devices include a number of features designed to enhance motor control function, specifically in single-motor systems. One of the notable features is a 3-channel S&H function that simultaneously detects the 3-phase current values of Brushless DC (BLDC) motors. This method provides superior control accuracy as opposed to sequential measurement methods. The RA2T1 MCUs also offer complementary Pulse Width Modulation (PWM) function of the timer, which enables automatic insertion of dead time and generation of an asymmetric PWM. This function is optimized for inverter drive, which facilitates control algorithm implementation.  The RA2T1 devices offer safety features that are critical in motor control applications. They provide a Port Output Enable function and a high-speed comparator that work together to quickly shut off the PWM output when an overcurrent is detected. The shutdown state can be selected according to the inverter specifications.  Renesas Leadership in Embedded Processing for Motor Control  Renesas has shipped motor-control specific MCUs for over 20 years. The company ships over 230 million motor control embedded processors per year to thousands of customers worldwide. In addition to multiple RA MCU groups, Renesas offers motor-control specific devices in its 32-bit RX Family, its 16-bit RL78 MCUs and its 64-bit RZ MPUs.  “Customers have trusted Renesas motor control solutions for many years across thousands of systems,” said Daryl Khoo, Vice President of Embedded Processing Marketing Division at Renesas. “The RA2T1 MCUs enhance our leadership in this area with market-leading technology, low-power operation, and legendary Renesas quality and safety standards for single-motor systems.”  Key Features of the RA2T1 Group MCUs  Core: 64 MHz Arm Cortex-M23  Memory: 64KB Flash, 8KB SRAM, 2KB Data Flash  Analog Peripherals: 12-bit ADC with 3-channel Sample and Hold, temperature sensor, internal reference voltage, 2-channel high-speed comparators  System: High-, mid- and low-speed On-chip Oscillators; clock output; power-on reset; voltage detection; data transfer, event link and interrupt controllers; low-power modes  Safety: PWM forced shutdown, SRAM parity error check, ADC self-diagnosis, clock frequency accuracy measurement, illegal memory access detection  Operating Temperature Range: Ta = -40°C to 125°C  Operating Voltage: 1.6V to 5.5V  Packages: 48LQFP, 32-LQFP, 48-QFN, 32-QFN, 24-QFN (4mm x 4mm)  The new RA2T1 Group MCUs are supported by Renesas’ Flexible Software Package (FSP). The FSP enables faster application development by providing all the infrastructure software needed, including multiple RTOS, BSP, peripheral drivers, middleware, connectivity, networking, and security stacks as well as reference software to build complex AI, motor control and cloud solutions. It allows customers to integrate their own legacy code and choice of RTOS with FSP, thus providing full flexibility in application development. Using the FSP will ease migration of motor control designs to other RA Series devices.  Winning Combinations  Renesas has combined the new RA2T1 Group MCUs with numerous compatible devices from its portfolio to offer a wide array of Winning Combinations, including Portable Power Tools, Smart BLDC Ceiling Fan, Cordless Vacuum Cleaner, Cordless Leaf Blower. Winning Combinations are technically vetted system architectures from mutually compatible devices that work together seamlessly to bring an optimized, low-risk design for faster time to market. Renesas offers more than 400 Winning Combinations with a wide range of products from the Renesas portfolio to enable customers to speed up the design process and bring their products to market more quickly. They can be found at renesas.com/win.  Availability  The RA2T1 Group MCUs are available now, along with the FSP software. The new MCUs are supported in Renesas’ Flexible Motor Control development kit that enables easy evaluation of motor control using permanent magnet synchronous motors (brushless DC motors), and the Renesas Motor Workbench development tool. This development kit offers a common design platform with numerous Renesas motor control MCUs from the RA and RX families, enabling migration of IP across numerous devices. Information on all these offerings is available at renesas.com/RA2T1. Samples and kits can be ordered either on the Renesas website or through distributors.  Renesas MCU Leadership  A world leader in MCUs, Renesas ships more than 3.5 billion units per year, with approximately 50% of shipments serving the automotive industry, and the remainder supporting industrial and Internet of Things applications as well as data center and communications infrastructure. Renesas has the broadest portfolio of 8-, 16- and 32-bit devices, delivering unmatched quality and efficiency with exceptional performance. As a trusted supplier, Renesas has decades of experience designing smart, secure MCUs, backed by a dual-source production model, the industry’s most advanced MCU process technology and a vast network of more than 250 ecosystem partners. For more information about Renesas MCUs, visit renesas.com/MCUs.
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Release time:2025-07-14 14:38 reading:525 Continue reading>>
Renesas Strengthens Power Leadership with New GaN FETs for High-Density Power Conversion in AI Data Centers, Industrial and Charging Systems
  Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, introduced three new high-voltage 650V GaN FETs for AI data centers and server power supply systems including the new 800V HVDC architecture, E-mobility charging, UPS battery backup devices, battery energy storage and solar inverters. Designed for multi-kilowatt-class applications, these 4th-generation plus (Gen IV Plus) devices combine high-efficiency GaN technology with a silicon-compatible gate drive input, significantly reducing switching power loss while retaining the operating simplicity of silicon FETs. Offered in TOLT, TO-247 and TOLL package options, the devices give engineers the flexibility to customize their thermal management and board design for specific power architectures.  The new TP65H030G4PRS, TP65H030G4PWS and TP65H030G4PQS devices leverage the robust SuperGaN® platform, a field-proven depletion mode (d-mode) normally-off architecture pioneered by Transphorm, which was acquired by Renesas in June 2024. Based on low-loss d-mode technology, the devices offer superior efficiency over silicon, silicon carbide (SiC), and other GaN offerings. Moreover, they minimize power loss with lower gate charge, output capacitance, crossover loss, and dynamic resistance impact, with a higher 4V threshold voltage, which is not achievable with today’s enhancement mode (e-mode) GaN devices.  Built on a die that is 14 percent smaller than the previous Gen IV platform, the new Gen IV Plus products achieve a lower RDS(on) of 30 milliohms (mΩ), reducing on-resistance by 14 percent and delivering a 20 percent improvement in on-resistance output-capacitance-product figure of merit (FOM). The smaller die size reduces system costs and lowers output capacitance, which results in higher efficiency and power density. These advantages make the Gen IV Plus devices ideal for cost-conscious, thermally demanding applications where high performance, efficiency and small footprint are critical. They are fully compatible with existing designs for easy upgrades, while preserving existing engineering investments.  Available in compact TOLT, TO-247 and TOLL packages, they provide one of the broadest packaging options to accommodate thermal performance and layout optimization for power systems ranging from 1kW to 10kW, and even higher with paralleling. The new surface-mount packages include bottom side (TOLL) and top-side (TOLT) thermal conduction paths for cooler case temperatures, allowing easier device paralleling when higher conduction currents are needed. Further, the commonly used TO-247 package provides customers with higher thermal capability to achieve higher power.  “The rollout of Gen IV Plus GaN devices marks the first major new product milestone since Renesas’ acquisition of Transphorm last year,” said Primit Parikh, Vice President of the GaN Business Division at Renesas. “Future versions will combine the field-proven SuperGaN technology with our drivers and controllers to deliver complete power solutions. Whether used as standalone FETs or integrated into complete system solution designs with Renesas controllers or drivers, these devices will provide a clear path to designing products with higher power density, reduced footprint and better efficiency at a lower total system cost.”  Unique d-mode Normally-off Design for Reliability and Easy Integration  Like previous d-mode GaN products, the new Renesas devices use an integrated low-voltage silicon MOSFET – a unique configuration that achieves seamless normally-off operation while fully capturing the low loss, high efficiency switching benefits of the high- voltage GaN. As they use silicon FETs for the input stage, the SuperGaN FETs are easy to drive with standard off-the-shelf gate drivers rather than specialized drivers that are normally required for e-mode GaN. This compatibility simplifies design and lowers the barrier to GaN adaptation for system developers.  GaN-based switching devices are quickly growing as key technologies for next-generation power semiconductors, fueled by demand from electric vehicles (EVs), inverters, AI data center servers, renewable energy, and industrial power conversion. Compared to SiC and silicon-based semiconductor switching devices, they provide superior efficiency, higher switching frequency and smaller footprints.  Renesas is uniquely positioned in the GaN market with its comprehensive solutions, offering both high- and low-power GaN FETs, unlike many providers whose success in the field has been primarily limited to lower power devices. This diverse portfolio enables Renesas to serve a broader range of applications and customer needs. To date, Renesas has shipped over 20 million GaN devices for high- and low-power applications, representing more than 300 billion hours of field usage.
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Release time:2025-07-04 15:04 reading:549 Continue reading>>
Renesas Sets New MCU Performance Bar with 1-GHz RA8P1 Devices with AI Acceleration
Unprecedented 7300+ CoreMarks1 with Dual Arm CPU coresTSMC 22ULL Process Delivers High Performance and Low Power ConsumptionEmbedded MRAM with Faster Write Speeds and Higher Endurance and RetentionDedicated Peripherals Optimized for Vision and Voice AI plus Real-Time AnalyticsNew AI Software Framework Eases Development and Enables Easy Migration with MPUsLeading-Edge Security Features Ensure Data Privacy  Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, introduced the RA8P1 microcontroller (MCU) Group targeted at Artificial Intelligence (AI) and Machine Learning (ML) applications, as well as real-time analytics. The new MCUs establish a new performance level for MCUs by combining 1GHz Arm® Cortex®-M85 and 250MHz Cortex-M33 CPU cores with the Arm Ethos™-U55 Neural Processing Unit (NPU). This combination delivers the highest CPU performance of over 7300 CoreMarks and AI performance of 256 GOPS at 500 MHz.  Designed for Edge/Endpoint AI  The RA8P1 is optimized for edge and endpoint AI applications, using the Ethos-U55 NPU to offload the CPU for compute intensive operations in Convolutional and Recurrent Neural Networks (CNNs and RNNs) to deliver up to 256 MACs per cycle that yield 256 GOPS performance at 500 MHz. The new NPU supports most commonly used networks, including DS-CNN, ResNet, Mobilenet TinyYolo and more. Depending on the neural network used, the Ethos-U55 provides up to 35x more inferences per second than the Cortex-M85 processor on its own.  Advanced Technology  The RA8P1 MCUs are manufactured on the 22ULL (22nm ultra-low leakage) process from TSMC, enabling ultra-high performance with very low power consumption. This process also enables the use of embedded Magnetoresistive RAM (MRAM) in the new MCUs. MRAM offers faster write speeds along with higher endurance and retention compared with Flash.  “There is explosive growth in demand for high-performance edge AIoT applications. We are thrilled to introduce what we believe are the best MCUs to address this trend,” said Daryl Khoo, Vice President of Embedded Processing Marketing Division at Renesas. “The RA8P1 devices showcase our technology and market expertise and highlight the strong partnerships we have built across the industry. Customers are eager to employ these new MCUs in multiple AI applications.”  “The pace of innovation in the age of AI is faster than ever, and new edge use cases demand ever-improving performance and machine learning on-device,” said Paul Williamson, Senior Vice President and General Manager, IoT Line of Business at Arm. “By building on the advanced AI capabilities of the Arm compute platform, Renesas’ RA8P1 MCUs meet the demands of next generation voice and vision applications, helping to scale intelligent, context-aware AI experiences.”  “It is gratifying to see Renesas harness the performance and reliability of TSMC 22ULL embedded MRAM technology to deliver outstanding results for its RA8P1 devices,” said Chien-Hsin Lee, Senior Director of Specialty Technology Business Development at TSMC. “As TSMC continues to advance our embedded non-volatile memory (eNVM) technologies, we look forward to strengthening our long-standing collaboration with Renesas to drive innovation in future groundbreaking devices.”  Robust, Optimized Peripheral Set for AI  Renesas has integrated dedicated peripherals, ample memory and advanced security to address Voice and Vision AI and Real-time Analytics applications. For vision AI, a 16-bit camera interface (CEU) is included that supports sensors up to 5 megapixels, enabling camera and demanding Vision AI applications. A separate MIPI CSI-2 interface offers a low pin-count interface with two lanes, each up to 720Mbps. In addition, multiple audio interfaces including I2S and PDM support microphone inputs for voice AI applications.  The RA8P1 offers both on-chip and external memory options for efficient, low latency neural network processing. The MCU includes 2MB SRAM for storing intermediate activations or graphics framebuffers. 1MB of on-chip MRAM is also available for application code and storage of model weights or graphics assets. High-speed external memory interfaces are available for larger models. SIP options with 4 or 8 MB of external flash in a single package are also available for more demanding AI applications.  New RUHMI Framework  Along with the RA8P1 MCUs, Renesas has introduced RUHMI (Renesas Unified Heterogenous Model Integration), a comprehensive framework for MCUs and MPUs. RUHMI offers efficient AI deployment of the latest neural network models in a framework agnostic manner. It enables model optimization, quantization, graph compilation and conversion, and generates efficient source code. RUHMI provides native support for machine-learning AI frameworks such as TensorFlow Lite, Pytorch & ONNX. It also provides the necessary tools, APIs, code-generator, and runtime needed to deploy a pre-trained neural network, including ready-to-use application examples and models optimized for RA8P1. RUHMI is integrated with Renesas’s own e2Studio IDE to allow seamless AI development. This integration will facilitate a common development platform for MCUs and MPUs.  Advanced Security Features  The RA8P1 MCUs provide leading-edge security for critical applications. The new Renesas Security IP (RSIP-E50D) includes numerous cryptographic accelerators, including CHACHA20, Ed25519, NIST ECC curves up to 521 bits, enhanced RSA up to 4K, SHA2 and SHA3. In concert with Arm TrustZone®, this provides a comprehensive and fully integrated secure element-like functionality. The new MCUs also provides strong hardware Root-of-Trust and Secure Boot with First Stage Bootloader (FSBL) in immutable storage. XSPI interfaces with decryption-on-the-fly (DOTF) allow encrypted code images to be stored in external flash and decrypted on the fly as it is securely transferred to the MCU for execution.  Ready to Use Solutions  Renesas provides a wide range of easy-to-use tools and solutions for the RA8P1 MCUs, including the Flexible Software Package (FSP), evaluation kits and development tools. FreeRTOS and Azure RTOS are supported, as is Zephyr. Several Renesas software example projects and application notes are available to enable faster time to market. In addition, numerous partner solutions are available to support development with the RA8P1 MCUs, including a driver monitoring solution from Nota.AI and a traffic/pedestrian monitoring solution from Irida Labs. Other solutions can be found at the Renesas RA Partner Ecosystem Solutions Page.  Key Features of the RA8P1 MCUs  Processors: 1GHz Arm Cortex-M85, 500MHz Ethos-U55, 250 MHz Arm Cortex-M33 (Optional)  Memory: 1MB/512KB On-chip MRAM, 4MB/8MB External Flash SIP Options, 2MB SRAM fully ECC protected, 32KB I/D caches per core  Graphics Peripherals: Graphics LCD controller supporting resolutions up to WXGA (1280x800), parallel RGB and MIPI-DSI display interfaces, powerful 2D Drawing engine, parallel 16bit CEU and MIPI CSI-2 camera interfaces, 32bit external memory bus (SDRAM and CSC) interface  Other Peripherals: Gigabit Ethernet and TSN Switch, XSPI (Octal SPI) with XIP and DOTF, SPI, I2C/I3C, SDHI, USBFS/HS, CAN-FD, PDM and SSI audio interfaces, 16bit ADC with S/H circuits, DAC, comparators, temperature sensor, timers  Security: Advanced RSIP-E50D cryptographic engine, TrustZone, Immutable storage, secure boot, tamper resistance, DPA/SPA attack protection, secure debug, secure factory programming, Device Lifecycle management  Packages: 224BGA, 289BGA
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Release time:2025-07-04 14:56 reading:563 Continue reading>>
Renesas:Enhance HMI User Experience with Built-in Large Memory MPU
  The HMI market continues to drive growth in better user experience and increased automation with the expansion of HMI applications. This results in a strong demand for improved functionality and performance in display-based applications, such as real-time plotting, smooth animation, and USB camera image capture, in affordable systems. Microprocessors (MPUs) with high-speed, large-capacity built-in memory that can be used like microcontrollers (MCUs) are gaining attention in the market. Renesas' RZ/A3M MPU with a built-in 128MB DDR3L SDRAM and a compatible package for a two-layer PCB design is the ideal solution for realizing smooth animation and high-quality HMI at a reasonable system cost.  High-Performance HMI and Real-Time Graphics  Integrating high-speed, large-capacity memory directly into the MPU package offers several advantages, including mitigating concerns about high-speed signal noise on the PCB and simplifying PCB design for the users. The large-capacity memory needed for high-performance HMIs is externally connected to the MPU in the conventional way. Additionally, PCBs equipped with DDR memory and high-speed signal interfaces require multi-layer PCB designs to account for signal noise, making it challenging to reduce PCB costs. Also, the common capacity of on-chip SRAM is typically between 1MB and 10MB, which is too small for high-performance HMIs that need to include a reasonable number of tasks in the near future. To overcome these issues, Renesas released an industry-leading RZ/A3M MPU with a large built-in 128MB DDR3L memory to support high-performance HMI and real-time graphics performance to enhance better and faster user experiences. Most importantly, the board does not require a high-speed signal interface and supports two-layer PCB design to reduce board noise and simplify system development for users.Figure 1. Strengths of Built-in DDR Memory  Designing High-Performance PCBs at a Reasonable System Cost  The number of PCB layers and the ease of design significantly impact the cost of system implementation and maintenance in user applications. As shown in Figure 2, using a wide pin pitch of 0.8mm allows for the layout of signal lines and placement of VIAs between the balls. Additionally, placing the balls handling the main signals in the outer rows of the 244-pin 17mm x 17mm LFBGA package and positioning the GND and power pins as inner balls allows for efficient routing of the necessary signal lines for the system (Figure 3). The RZ/A3M MPU is designed to build cost-effective systems with two-layer PCBs through its innovative packaging and pin assignments.Figure 2. Signal Wiring and Ball LayoutImageFigure 3. Optimized Ball Arrangement for a Two-Layer Board Layout  User-Friendly Interface Enabling Smooth GUI Display  The high-resolution graphic LCD controller integrated into the RZ/A3M supports both parallel RGB and 4-lane MIPI-DSI interfaces, accommodating displays up to 1280x800. Additionally, the 2D graphics engine, high-speed 16-bit 1.6Gbps DDR3L memory, and 1GHz Arm® Cortex®-A55 CPU enable high-performance GUI displays, including smooth animations and real-time plotting that increase the possibility of automation in HMI applications. Connecting a USB camera to the USB 2.0 interface enables smooth capture of camera images, making it easy to check inside of an apparatus, for example, the doneness of the food in the oven or the condition in the refrigerator.  The EK-RZ/A3M is an evaluation kit for the RZ/A3M. It includes an LCD panel with a MIPI-DSI interface. With this kit, users can immediately start evaluation. Renesas also has several graphics ecosystem partners – LVGL, SquareLine Studio, Envox, Crank, RTOSX – who deliver GUI solutions utilizing the EK-RZ/A3M to further accelerate your development cycle.Figure 4. High-Definition HMI Example with the EK-RZ/A3M  The RZ/A3M MPU, equipped with high-speed 128MB DDR3L memory and a 1GHz Arm Cortex-A55, excels in developing cost-effective HMI applications with real-time plot UIs, smooth animations, and USB camera capture. The integrated memory simplifies PCB design by removing the need for high-speed signal interface design. Visit www.renesas.com/rza3m to learn more about the technical details and how to start developing the next HMI applications for consumer electronics, smart home, building automation, healthcare, industrial applications, and office automation.
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Release time:2025-06-06 15:27 reading:567 Continue reading>>
Renesas Extends RZ/A MPU Line-up with RZ/A3M for Cost-Sensitive, Advanced HMI Solutions
  Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today introduced a new high-performance microprocessor (MPU) in the RTOS-based RZ/A series that meets the growing demands of advanced human-machine interface (HMI) systems. The new RZ/A3M MPU comes with large SDRAM, SRAM and RTOS support to facilitate the seamless execution of complex tasks and real-time graphical displays. The RZ/A3M drives video and camera output on large LCD panels with resolutions up to 1280x800, addressing the display requirements in next-generation home appliances, industrial and office automation, healthcare devices and building control systems.  Similar to its existing RZ/A3UL, the RZ/A3M features a 64-bit Arm® Cortex®-A55 core with a maximum operating frequency of 1 GHz and 128 KB (kilobytes) of on-chip SRAM. By integrating high-speed 128MB DDR3L-SDRAM in a single System-in-Package (SiP), the device eliminates the complex task of designing a high-speed signal interface for connecting external memory.  Reducing System Cost with Built-in Memory and Simplified PCB Design  The RZ/A3M is designed to reduce system costs and accelerate development. It supports both external NAND and NOR flash via QSPI for data and code storage. Paired with a driver, high-capacity NAND flash offers a cost-effective option for memory expansion. Additionally, the RZ/A3M's BGA package has a unique pin layout with two main rows positioned on the outside edge. This layout simplifies PCB routing and enables a low-cost, dual-layer printed wiring board design, providing significant cost and time savings. This memory integration simplifies PCB design by reducing the routing complexity and minimizing layout constraints.  “I’m pleased to launch the RZ/A3M, the first RZ product with large built-in memory targeting high-function video/animation HMI performance while keeping overall system costs low,” said Daryl Khoo, Vice President of the Embedded Processing Marketing Division at Renesas. “In addition, we aim to deliver a highly responsive user experience with high-quality, real-time graphics, and provide the ease of design and cost efficiency to help our customers build advanced HMI solutions quickly.”  Comprehensive Development Environment  Renesas offers a comprehensive HMI development environment that includes the Flexible Software Package (FSP), evaluation kits, development tools, and sample software. Graphical user interface (GUI) solutions from partner companies such as LVGL, Crank, SquareLine Studio, and Envox will be available for the RZ/A3M to facilitate rapid HMI graphics development.  Key Features of RZ/A3M  Arm Cortex-A55 CPU with a maximum operating frequency of 1GHz  128KB SRAM with error correction, Built-in 128MB DDR3L SDRAM  Graphics capabilities: LCD controller supporting resolutions up to 1280x800 (WXGA), parallel RGB and MIPI-DSI (4-lane) interfaces, 2D graphics drawing engine  Peripheral functions: QSPI interface for serial NOR/NAND flash memory, SPI, I2C, SDHI, USB2.0, I2S, temperature sensor, timer  Package: 244-pin LFBGA, 17mm x 17mm, 0.8mm pitch  Renesas’ Comprehensive HMI Solutions  Renesas offers a wide variety of HMI solutions ranging from the 32-bit RX and RA MCU families to the 64-bit RZ family supporting 4K displays. The RZ/A series, built on RTOS-based MPUs with fast startup, includes the new RZ/A3M, which delivers high-performance HMI capabilities with the same ease of use offered by MCUs using large memory capacity.  Multi-HMI Winning Combination  Renesas offers Multi-HMI Solution which combines the new RZ/A3M MPU with numerous compatible devices from its portfolio to offer HMI functions for appliances. These Winning Combinations are technically vetted system architectures from mutually compatible devices that work together seamlessly to bring an optimized, low-risk design for faster time to market. Renesas offers more than 400 Winning Combinations with a wide range of products from the Renesas portfolio to enable customers to speed up the design process and bring their products to market more quickly. They can be found at renesas.com/win.
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Release time:2025-05-26 14:49 reading:658 Continue reading>>

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