ROHM Develops Automotive Primary <span style='color:red'>LDO</span>s: Leveraging Original QuiCur™ Technology to Achieve Industry-Leading* Load Response Characteristics
  ROHM has developed 45V rated 500mA output primary LDO regulators: BD9xxM5-C (BD933M5EFJ-C / BD950M5EFJ-C / BD900M5EFJ-C / BD933M5WEFJ-C / BD950M5WEFJ-C / BD900M5WEFJ-C). These devices are suitable for supplying power to automotive electronic components such as ECUs that operate from vehicle batteries.  In recent years, the number of onboard power supply system and functions continues to grow as electrification in the automotive industry progresses. This increases the demand for primary LDOs that can directly step down the battery voltage to MCUs and other components used in ECUs. However, the energy supplied by the vehicle’s lead-acid battery is often subject to sudden voltage fluctuations, which primary LDOs are required to provide with excellent line-transient response in these conditions.  At the same time, ECUs and other downstream devices often experience load current variations during operation, that also demand excellent load-transient response characteristics. A high frequency response is essential for fast output voltage recovery, but it has been difficult to provide sufficient phase margin at the same time to ensure stable operation. In response, ROHM developed a novel solution that addresses these challenges.  The BD9xxM5-C incorporates original QuiCur™ high-speed load response technology that delivers excellent response characteristics to load current fluctuations. For example, the LDO can maintain output to within 100mV of set voltage even as the load changes between 0 and 500mA in 1μs (Rise time/Fall time). Furthermore, low 9.5µA (typ.) current consumption contributes to lower power consumption in automotive applications. These new products will be available in four packages, ranging from the compact HTSOP-J8 to the high heat dissipation TO252 (TO252-3/TO252-5) and HRP5 types. This allows users to select the most suitable package for each use case.  Going forward, ROHM will continue to improve reliability while reducing power consumption in automotive applications by developing products utilizing its strengths in analog and other technologies.  Product LineupThe new BD9xxM5-C meets the basic requirements for automotive products, including 150°C operation and qualification under the AEC-Q100 automotive reliability standard. A wide range of packages will be available to select from depending on the application environment, all featuring excellent response performance and low current consumption using proprietary QuiCur™ technology.  The lineup will be expanded to comprise a total of 18 models, (including the TO252-3, TO252-5, and HRP5 packages) by FY2024.  Application ExamplesSuitable for a wide range of automotive applications such as ECUs that operate on vehicle primary power supply systems.  • Powertrain: Fuel Injection (FI), Tire Pressure Monitoring System (TPMS)  • Body systems: Body Control Modules  • Infotainment: Instrument Clusters, Head-Up Displays (HUDs)  QuiCur™ High-Speed Load Response TechnologyQuiCur™ is the name of ROHM’s proprietary ‘Quick Current’ high-speed load response circuit capable of maximizing load response characteristics (response performance) without causing instability in the feedback circuits of power supply ICs.  Stable operation of the power supply IC is also possible with minimal output capacitance. And in the case of switching regulators, which are a type of power supply IC, it is possible to linearly adjust the capacitance and output voltage fluctuation to easily achieve stable operation even when the capacitance is changed due to specification changes, significantly reducing the number of person-hours required for power circuit design - both in terms of decreasing component count and ensuring stable operation.  Click on the URL below for more information on QuiCur™ Technology.  https://www.rohm.com/news-detail?news-title=rohm-establishes-quicur-that-maximizes-the-response-performance-of-power-supply-ics&defaultGroupId=false  • QuiCur™ is a trademark or registered trademark of ROHM Co., Ltd.  Support ToolsROHM Real Models are high accuracy SPICE models that utilize original model-based technology to faithfully reproduce the electrical and temperature characteristics of the actual IC, resulting in a perfect match between the IC and simulation values. This ensures reliable verification, contributing to more efficient application development - for example by preventing rework after prototyping.  ROHM Real Models are now available on ROHM’s website (see link below).  https://www.rohm.com/products/power-management/linear-regulators/single-output-ldo-regulators?page=1&PS_ProductSeries=BD9xxM5%20series&PS_SpiceLink=1.0#parametricSearch  Online Sales InformationSales Launch Date: February 2024  Pricing: $1.5/unit (samples, excluding tax)  Online Distributors: DigiKey, Mouser and Farnell  The products will be sold at other online distributors as well.  Applicable Part Nos: BD950M5EFJ-C, BD933M5WEFJ-C, BD950M5WEFJ-C, BD900M5WEFJ-C  TerminologyPrimary  In a power supply circuit, the side in charge of 1st stage conversion from a power source such as a battery is called the primary and the side responsible for 2nd stage conversion referred to as the secondary.  LDO Regulator (Low Drop Out/Low Saturation Regulator)  A type of power supply IC that converts between two different DC voltage levels. Falls under the category of linear regulator (where the input/output voltages operate linearly) characterized by a small input-output voltage difference. Compared to DC-DC converter ICs (switching regulators), LDOs feature a simpler circuit configuration and lower noise.  Load Current  From the point of view of the power supply ICs, all electronic circuits in the subsequent stages, including MCUs and sensors, can be considered “loads”. When these loads operate, a (load) current flows, causing the output voltage of the power supply IC to undershoot (drop) or overshoot. Load transient response characteristics refer to the response time until the changed voltage due to load current is restored and the power supply stabilizes.
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Release time:2024-03-27 11:07 reading:464 Continue reading>>
DIOO PMIC DIO8018 with 7-channel high-performance <span style='color:red'>LDO</span>
  DIOO has recently launched the PMIC DIO8018, an integrated 7-channel high-performance LDO which is specially designed to provide power supply solutions for multi-camera application scenarios such as mobile phones, tablet computers and extended reality (XR).  In one camera module, CMOS image sensors generally require three-way power supplies (Core, I/O, and Analog), and some cameras also have power supply requirements for auxiliary functions such as Optical Image Stabilization (OIS) and Auto Focus (AF). A single camera module needs 3~5 channels of power supply, and the tablet computer, mobile phone, and XR require more than one camera module.  The load characteristics and requirements of the power supply differs by camera modules. There are digital circuit power supply DVDD that requires high current and fast dynamic response, and analog circuit power supply AVDD that is very sensitive to power supply noise. Different types of cameras may also require different output voltages and currents. The camera sensor power supply generally supplies the nearest components. However, the main PMIC of the platform is generally far away from the position of the camera, and it does not have enough channels to supply multiple cameras.  The use of multiple discrete LDOs is a solution, but it will occupy a large amount of PCB area, which is a huge challenge to the structural design and PCB layout of multi-camera module equipment.  The DIO8018 can not only meet the high current and fast dynamic response required by DVDD, but also meet the high PSRR and low noise required by AVDD, and also satisfies the need for an ultra-small size. It is a perfect solution for multi-camera applications.  图1:Typical Applications  Integrated 7-channel LDO  The DIO8018 is a PMIC with an integrated 7-channel LDO. It has a 2-channel low-dropout LDO for high-current power supply (LDO1/2 output current up to 1.5 A, can power the DVDD of a high-pixel camera) and multi-channel high-voltage power supply for noise sensitive power supply PSRR LDO power rail (Vsys to Vout of LDO3-7, PSRR can reach more than 92dB at 1KHz, which can power the AVDD of the camera).  The DIO8010 is a PMIC with an integrated 7-channel LDO. It has a 2-channel, low-dropout LDO for high-current power supplies and a multi-channel, high PSRR, LDO power rail for noise-sensitive power supplies. The LDO 1/2 has an output current of up to 1.5 A and can supply the DVDD of a high-pixel camera. The PSRR of LDO 3 to 7, which is Vsys to Vout, can reach more than 92 dB at 1kHz.
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Release time:2023-02-16 15:25 reading:1885 Continue reading>>
Cadence: Last Holdout for Vision + AI ProgrammabilityCadence: Last Holdout for Vision + AI Programmability
  Cadence Design Systems, Inc. might have found the secret recipe for success in an increasingly hot AI processing-core market by promoting a suite of DSP cores that accelerate both embedded vision and artificial intelligence.  The San Jose-based company is rolling out on Wednesday (April 11) the Cadence Tensilica Vision Q6 DSP. Built on a new architecture, the Vision Q6 offers faster embedded vision and AI processing than its predecessor, Vision P6 DSP, while occupying the same floorplan area as that of P6.  The Vision Q6 DSP is expected to go into SoCs that will drive such edge devices as smartphones, surveillance cameras, vehicles, AR/CR, drones, and robots.  The new Vision Q6 DSP is built on Cadence’s success with Vision P6 DSP. High-profile mobile application processors such as HiSilicon’s Kirin 970 and MediaTek’s P60 both use the Vision P6 DSP core.  Among automotive SoCs, Dream Chip Technologies is using four Vision P6 DSPs. Geo Semiconductor’s GW5400 camera video processor has adopted Vision P5 DSP.  Mike Demler, senior analyst, The Linley Group, told EE Times that where Vision Q6 DSP differs from its competitors is “its multi-purpose programmability.” Among all computer-vision/neural-network accelerators on the market today, Demler noted, “Cadence is the last holdout for a completely programmable multipurpose architecture. They go for flexibility over raw performance.”  Demler added that Vision Q6 DSP is “comparable to the earlier Ceva XM4 and XM6, also DSP-based. But those cores add a dedicated multiplier-accumulator (MAC) array to accelerate convolution neural networks (CNNs).” He observed that Synopsys started with a CPU-MAC combination in its EV cores, but moved on to a CPU-DSP-MAC accelerator combo in the EV6x. Ceva went to a more special-purpose accelerator architecture in NeuPro, which looks more like Google’s TPU. Demler said, “Ceva’s NeuPro has much higher neural-network performance, but so do most of the other IP competitors. It’s a growing list now with Nvidia’s open-source NVDLA, Imagination, Verisilicon, Videantis, and others.”  Vision + AI strategy  Thus far, Cadence is sticking to its original strategy of vision + AI on a single DSP core.  Demler believes that “SoC providers are seeing an increased demand for vision and AI processing to enable innovative user experiences like real-time effects at video-capture frame rates.”  Indeed, Lazaar Louis, senior director of product management and marketing for Tensilica IP at Cadence, explained that more embedded vision applications have begun leveraging AI algorithms. Meanwhile, some AI functions improve when better vision processing comes first, he added.  AI-based face detection is an example. By capturing a face in varying multiple resolutions first, AI can detect it better. Meanwhile, to offer a vision feature like “bokeh” with a single camera, AI first performs segmentation, followed by blurring and de-blurring in the vision operation. Both applications demand the mix of vision and AI operations, and Cadence’s DSPs can put both operations in the camera pipeline, explained Louis.  More significantly, though, Cadence is hoping to use its well-proven vision DSP as a “Trojan horse” to open the door to design wins in present and future SoCs expected to handle more AI processing, acknowledged Louis.  On one hand, Cadence has both Vision P6 DSP and Vision Q6 DSP, designed to enable general-purpose embedded vision and more vision-related on-device AI applications. On the other, Cadence has a standalone AI DSP core, the Vision C5, which offers more “broad-stroke AI,” according to Louis, for always-on neural network applications.  While the Vision P6 and the Vision Q6 are used for applications requiring AI performance ranging from 200 to 400 GMAC/sec, the Vision Q6 DSP can be paired with the Vision C5 DSP for applications requiring greater than 384-GMAC/sec AI performance, according to Cadence.  Q6 advantages  The new Q6 comes with a deeper, 13-stage processor pipeline and system architecture designed for use with large local memories. It enables the Vision Q6 DSP to achieve 1.5-GHz peak frequency and 1-GHz typical frequency at 16 nm in the same floorplan area as the Vision P6 DSP, according to Cadence. As a result, designers using the Vision Q6 DSP can develop high-performance products that meet increasing vision and AI demands and power-efficiency needs.  But what sorts of applications are driving the vision and AI operations to run faster?  In mobile applications, Louis said that users want to apply “beautification” features not just to still photos, but also to video. “That demands higher speed,” he said. In AR/VR headsets, simultaneous localization and mapping (SLAM) and imaging processing demand decreased latency. System designers also want to use AI-based eye-tracking so that an AR/VR headset can render on its screen one object in focus, the rest blurry, rather than a screen with various focal points, which could create visual conflicts. Such applications also need much higher processing speed, added Louis.  More surveillance cameras are now designed to do “AI processing on device,” according to Louis, rather than sending captured images to the cloud. When such a camera sees a person at the door, the device there decides who it is, detects any anomaly, and puts out an alert. Again, this demands more powerful vision and AI processing, concluded Louis.  Deeper pipeline, new ISA, software frameworks  The Vision Q6’s deeper pipeline comes with a better branch prediction mechanism, overcoming branch overhead, according to Cadence. The Q6 also comes in a new instruction set architecture. It provides additional enhanced imaging, computer vision, and AI performance. For example, there are up to 2x performance improvements for imaging kernels on Vision Q6 DSP, claimed Louis.  It’s important to note that the Q6 is backward-compatible with Vision PG DSP. It provides separation of scale and vector execution, which results in higher-scale performance, according to Cadence.  Beyond the hardware enhancements, Louis stressed Cadence’s commitment to support a variety of deep-learning frameworks. The Vision Q6, for example, comes with Android Neural Network support, enabling on-device AI for Android platforms.  Louis also pointed out that the Q6 DSP now offers custom layer support. When customers devise unique innovations to augment standard networks, “we can support them,” he said. The Vision Q6 DSP extends broad support for various types of neural networks for Classification (i.e., MobileNet, Inception, ResNet, VGG), Segmentation (i.e., SegNet, FCN) and Object Detection (i.e., YOLO, RCNN, SSD).  Boasting the company’s full ecosystem of software frameworks and compilers for all vision programming styles, Louis noted that the Q6 supports AI applications developed in the Caffe, TensorFlow, and TensorFlowLite frameworks through the Tensilica Xtensa Neural Network Compiler (XNNC). The XNNC maps neural networks into executable and highly optimized high-performance code for the Vision Q6 DSP, leveraging a comprehensive set of optimized neural network library functions.  The Vision Q6 DSP is now available to all customers. Select customers are integrating the new DSP core in their products, according to Cadence.
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Release time:2018-04-12 00:00 reading:1392 Continue reading>>

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