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Driven by the adoption of evermore electronic components in end products, the semiconductor industry is facing a new era in which device scaling and cost reduction will no longer continue on the path followed for the past few decades. Advanced nodes no longer bring the desired cost benefit, and R D investments in new lithography solutions and devices below 10nm nodes are rising substantially. In order to satisfy market demands, the industry is looking for technology solutions to bridge the gap and improve cost/performance while at the same time adding more functionality through integration.More than-Moore devices (including MEMS and sensors, CMOS Image Sensors, power electronic, along with RF devices) represent this new functional diversification of technologies, combining performance, integration and cost not limited to CMOS scaling, and their importance will become more and more preponderant.In 2017, wafer demand for More than Moore devices1 reached almost 45 million 8-inch eq. wafers. This figure is expected to reach more than 66 million 8-inch eq wafers by 2023, showing an almost 10 percent growth during this period.This increase is supported by the famous megatrends detailed in the new analysis, Wafer Starts for More Than Moore Applications2, performed by Yole Développement (Yole). This analysis is relevant to the following markets: 5G with wireless infrastructure and mobile segments, mobile including additional functionalities, voice processing, smart automotive and electrification, AR/VR3, and AI4.For the first time, the market research and strategy consulting company presents a dedicated technology and market analysis focused on the overall wafer demand for More than Moore devices. The aim of this report is to give an overview of wafer shipments for More than Moore devices, from wafer size to semiconductor material substrate type including silicon, glass, SOI5, SiC6, SiGe7, GaN8, InP9, GaAs10, sapphire and ceramic, and thus identify business opportunities in the More than Moore industry.For over 20 years, Yole has been analyzing the industry evolution, discussing with leading companies to understand market challenges, and identifying technical breakthroughs. The Wafer Starts for More Than Moore Applications report is the result of this 20-year research. Yole’s analysts combine technical and market expertise to describe the More than Moore world. Market size (volume and value), substrate sizes and formats, value chain, technology processes and market drivers, business opportunities and competitive landscape are all part of Yole’s analysis.The various research teams at Yole, encompassing power electronics, imaging and sensing, RF and semiconductor manufacturing, collaborate to present an in-depth understanding of the current market evolution, taking into account innovations and emerging businesses. This methodology allows Yole to cover the overall megatrends and illustrate the links between wafer substrate, device, module, sub-system, system and high-end product.Under this dynamic ecosystem, the deployment of renewable energy sources and industrial motor drives as well as the electrification of the automotive industry are good examples of the impact of megatrends on the semiconductor industry development. They are directly impacting the power devices’ wafer market, resulting in an expected 13 percent CAGR between 2017 and 2023. Already in 2017, this market represented more than 60 percent of the overall wafer market for More than Moore devices, and is currently still dominating the More than Moore industry.5G is one megatrend driving wafer demand. 5G is leading the More than Moore evolution, bringing any service to any user, anywhere. Antennas and filtering functionalities are two of the key innovations of this evolution.Without doubt, the stringent requirements of 5G are driving increasing demand for RF components like RF filters, power amplifiers (PAs), and low-noise amplifiers (LNAs) to ensure access to tomorrow’s radio network.This year, Corning and Menlo Micro announced a major agreement to develop a DMS[11] product platform. Both partners propose an innovative approach based on TGV12 packaging technology. According to both partners, this technical choice allows them to cover operation of frequencies beyond 50GHz. Amongst the numerous megatrends, mobility is not far behind 5G. Demand for advanced mobile applications integrating more and more functionality is growing. In order to compete companies are developing smart combinations of devices such as fingerprint sensors, ambient light sensors, 3D sensing, microphones, and inertial MEMS devices. As an example, impressive developments focused on SOI-based NIR sensors have been released by SOITEC for front-side imager applications including advanced 3D image sensors. This technical evolution will clearly contribute, in the near future, to strong growth of the wafer market for MEMS and sensors. Additionally, the automotive industry, with the development of smart cars, has reached a new level of complexity requiring the development and integration of new sensors. In this context, many companies are aiming to extend their capabilities in ADAS13 and autonomous driving. Recently the leading company On Semiconductor acquired SensL Technologies, the leader in SPAD and LiDAR sensing products for automotive. This acquisition is one sign among many highlighting the evolution of this historic industry, searching for new expertise and welcoming new players, more aware of consumer habits and needs.Yole’s analysts expect smart automobiles to drive consistent growth of CIS14 and sensor wafer production over the next five years. It is fueled by the increasing integration of high-value sensing modules like RADAR, imaging, LiDAR and more. Although automotive will be mainly supported by these growth areas, historic MEMS and sensors such as MEMS pressure sensors and inertial MEMS will continue growing at a reasonable rate, supporting the standard automotive world.Yole Group of Companies including Yole, System Plus Consulting, KnowMade, PISEO and Blumorpho follows and analyzes the industry continuously. The Group has developed in-depth expertise and knowledge focused on the semiconductor manufacturing process and markets. Companies of the Group work together to understand the technical issues, identify business opportunities and propose valuable analyses.Yole invites you to an overview of the Wafer Starts for More Than Moore Applications report during the exclusive online event, titled “Wafer Starts for More than Moore Applications – Webcast”. This hourlong webcast takes place on June 28 at 5:00 PM CEST. The market research company will present key results of this report including megatrends, wafer market evolution and technical trends. Moderated by David Jourdan, Sales Coordination Customer Service at Yole, it welcomes the two leading companies, SPTS (an Orbotech Company) and Corning Precision Glass Solutions: "Trends in Wafer Processing Technologies for RF MEMS" – Speaker David Butler, Executive Vice President and General Manager at SPTS Technologies "Benefits of Through Glass Vias for RF applications" – Speaker: Ravij Parmar, New Product Development Manager for Corning Precision Glass Solutions These results will be also presented by the Semiconductor Software team at SEMICON West (Booth #1320), SEMICON Taiwan and SEMICON Europa (Booth #A-4667). Make sure to meet Yole’s analysts and get a valuable overview of the More than Moore industry. Agenda and more information are available on i-micronew.com. Stay tuned!About the authors:Amandine Pizzagalli is a Technology Market Analyst, Equipment Materials - Semiconductor Manufacturing - at Yole Développement (Yole). Amandine is part of the development of the Semiconductor Software division of Yole with the production of reports and custom consulting projects. She is in charge of comprehensive analyses focused on semiconductor equipment, materials and manufacturing processes. Emilie Jolivet is Director of the Semiconductor Software Division at Yole Développement, part of Yole Group of Companies, where her specific interests cover package assembly, semiconductor manufacturing, memory and software computing fields. 1 Including: MEMS sensors, CIS, and power, photonics and RF devices2 Yole Développement, March 20183 AR/VR : Augmented Reality/Virtual Reality4 AI : Artificial Intelligence.5 SOI : Silicon On Insulator6 SiC : Silicon Carbid7 SiGe: Silicon Germanium8 GaN: Gallium Nitride9 InP: Indium Phosphide10 GaAs : Gallium Arsenide111 DMS : Digital-Micro-Switch12 TGV : Through Glass Via13 ADAS : Autonomous Driving Assistance Service14 CIS : CMOS Image Sensor
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What’s next for smarter, more connected electronics manufacturing - Part 1The fast-maturing infrastructure now enabling applications for big data and artificial intelligence means disruptive change not just at individual companies but also in data connections among companies across the microelectronics manufacturing value chain. SEMI expands its smart manufacturing program with a Smart Manufacturing Pavilion with displays and three full days of talks to address these industry-wide developments at SEMICON West, July 10-12 in San Francisco.Autonomous autos’ demand for zero-defect systems and 100 percent traceability back to the manufacturing data for each die is driving a push to traceability across the chip sector. “Far more chips are being used by the automotive sector, and its very different requirements are driving demand for traceability,” says Tom Ho, president of BISTel America. “Our chipmaker customers are looking for traceability solutions and the trend is the same in backend packaging and assembly – automotive applications are driving the sector to traceability.”Traceability is also driven by the growth of systems in a package as fabless chipmakers look to connect back to the packaging companies’ fault analysis labs and die interconnect history to diagnose and fix the cases where known-good die are failing in the system, adds Mike Plisinski, CEO of Rudolph Technologies. Plisinski adds that makers of consumer products like phones that can also see harsh conditions are demanding higher quality and traceability as well. The electronic manufacturing services (EMS) sector also must establish an architecture for traceability to collect critical manufacturing-related data and to interface with OSATs and semiconductor fabs. The reason is that EMS companies are adding traditional OSAT processes such as assembly of products with bare die and complex optics modules requiring clean rooms. “A unified sand-to-smart-phone smart manufacturing roadmap should be established,” says Dan Gamota, vice president of Engineering and Technology Services at Jabil. “We need to identify protocols for manufacturing data communications that can be adopted across the supply chain.”To enable smart manufacturing, vendors need to collaborate on getting their production equipment to interoperate and support factory analytics and data management systems. Source: SEMI One big challenge, of course, is how to format this diverse data so it can be linked and used by various supply chain stakeholders. “Smart data needs to be contextual and it needs data standards across the supply chain so it’s easy to link from the front end to the back end, follow common lot IDs front and back end, and have a way to map streaming data from sensors to a discrete lot ID,” notes Ho. New approaches to metrology, analysis and test that increasingly exploit machine learning on simulations will also be needed to help predict which die and connections that test well now may fail in the future as conditions change.Another issue is how to securely share the needed data across companies without jeopardizing IP. “On the equipment side we collect data across customers on how the tool is running to improve the equipment,” notes Neal Callan, ASML VP Silicon Valley. “Next we need to integrate performance and reliability data that today is not as well shared.”The other big hurdle is how to pay for data sharing. “The challenge is that the final manufacturers reap the benefit of traceability, but since they expect their suppliers to deliver good die, they don’t want to pay more for it,” notes Plisinski. He suggests that over the next two to three years, traceability and predictive fault prevention will become the norm as the automotive sector is compelled to invest in it to assure safety. Meanwhile, fabless companies will face so much complexity in integrating different die from different suppliers in SiP that they will no longer be able to afford to simply use the cheapest supplier, potentially driving a fundamental shift in relations and division of labor among fabless chipmakers, OSATs and fabs. Standards extend across supply chainSEMI member committees are collaborating to build the infrastructure to enable these developments. Standards committees are updating standards for higher bandwidth data exchange and extending semiconductor-like vertical and two-way horizontal equipment communication standards to flow shops to enable assembly players to optimize and trace back results across players. The SMT/PCBA community is integrating its smart manufacturing work into SEMI standards, and the SEMI A1 standard was a key reference document in the development of the Japan Robotics Association’s Equipment Link Protocol.Speakers addressing these issues at SEMICON West include Active Layer Parametrics, Applied Materials, Applied Research Photonics, ASML, Bosch Rexroth, Cimetrix, Coventor, ECI Technologies, Edwards Vacuum, Final Phase Systems, GE Digital, Infineon, Jabil, Lam Research, Osaro, Otosense, PEER Group, Qualcomm, Rockwell Automation, Rudolph Technologies, Schneider Electric, Seagate, Siemens, Stanford University, TEL, TIBCO Software. See semiconwest.org.What’s next for smarter, more connected electronics manufacturing - Part 2What’s next for smarter, more connected electronics manufacturing - Part 3Paula Doe, SEMI
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The fast-growing automotive semiconductor market means big change for the IC supply chain. Beyond the obvious demands for reliability and traceability, the sector is moving towards simpler and lower-cost solutions while facing the daunting challenge of automating driving in a complex world. The need for simpler and cheaper automotive intelligence will likely drive acquisitions to build complete platform solutions that are easier to integrate. This demand has already spawned a market for pre-configured test cars to save developers time and money, and is driving LiDAR (Light Detection And RADAR) towards lower-cost, solid state solutions. “The growth of the automotive electronics market provides a great opportunity for the IC supply chain to differentiate on specialty processes and quality for the high-volume automotive business with its long design cycles,” says Scott Jones, principal, strategy, at KPMG, who will speak in the automotive program at SEMICON West. “This differentiation is a chance to reduce chip suppliers’ dependence on scaling volume for the mobile phone world with its short-cycle volatility of winning and losing sockets.” He notes that increasing demand for automotive ICs is also reinvigorating the eight-inch supply chain and spurring opportunity for specialty products such as compound semiconductor devices for power efficiency. Supplying the automotive market also means addressing automotive reliability requirements, which can be 10 times more stringent than for consumer devices. At the same time, the industry must sustain fast-paced development cycles required for the volume and diversity of low-cost IoT devices, manage the segmented supply chain for both those markets, and still spread development costs. Another big challenge for the supply chain will be to automate testing and update vast amounts of embedded software in these automotive devices. “The more complete solution a company can put together, the more the automakers will gravitate to it. They want simplicity,” Jones suggests. Smaller players will need to differentiate with IP and acquire other IP provider to build a broader platform, or be acquired and folded into an all-in-one solution.AutonomouStuff helps accelerate and simplify development of autonomous driving solutionsAutonomouStuff is helping to speed development of these platforms. The company has grown from a sensor distributor into a supplier in the emerging niche of vehicles preconfigured with key interfaces for sensors and controls. These interfaces can then be customized by integrating different components for developers to test their applications. AutonomouStuff offers developers a lineup of vehicle models pre-configured with the interfaces needed to add desired chips, sensors and software to develop their autonomous vehicle systems. Source: AutonomouStuff.“Whether they’re major chipmakers or AI software startups, they don’t have a year to build their own vehicle platforms themselves for developing autonomous vehicle systems,” says Wolfgang Juchmann, VP sales and business development at AutonomouStuff. Juchmann, a SEMICON West speaker, will bring a demonstration vehicle to the show. “In four to six weeks we can prepare a custom test car with selected sensors, enabling users to start testing their computer platforms and software. It’s faster and more cost-effective for us to supply the car with the needed interfaces.” He notes that developers are using some 300 AutonomouStuff vehicles in the field. AutonomouStuff customers are starting to transition from testing on a single car or two to testing on mini-fleets with 50 to 100 vehicles. Beyond sensors and pre-configured vehicles, the next step will be to add more data intelligence services to help with capabilities like tagging the data for training, Juchmann says. AutonomouStuff already offers hardware to support Baidu’s Apollo open-source software stack and data set. The company was recently acquired by the Swedish holding company Hexagon to help support expansion.CMOS silicon LiDAR nears automotive qualificationInnovations in the hyper-competitive LiDAR market, where burgeoning demand is driving the race to develop various types of solid-state devices, may also help reduce the cost of autonomous vehicles. Among the roughly 40 LiDAR suppliers, at least one – Quanergy – is taking advantage of 45nm and 32nm foundry CMOS volume production. The company uses voltage through the semiconductor stack to change the refractive index, controlling the phases of optical beams and the resulting interference patterns of light exiting the chip to quickly steer the laser beam without the need for moving parts, much like the phased array radar its team developed earlier. Solid state LiDAR image with object recognition software. Source: QuanergySo far, most of the small LiDAR units have shipped to the security, industrial automation, drone, robots and 3D mapping markets. However, Quanergy CEO Louay Eldada, another SEMICON speaker, says the company is also winning automotive designs and expects automotive shipments to take off early next year, once automotive certification testing is completed. “We can get design wins because standard CMOS production at TSMC makes us a known entity,” says Eldada. To prevent component misalignment, the company produces its own specialized packaging to secure the laser, phase control ASIC, optical phased-array emitter, detector array, and receiver readout ASIC at its plant in Silicon Valley or the facility of its automotive partner Sensata. Through its software business, Quanergy offers an artificial intelligence (AI) perception program for object recognition and LiDAR tracking. The solution uses the people-tracker software the company acquired from Raytheon.SEMICON West this year expands to three full days of automotive electronics programming and features a Smart Transportation Pavilion. Other companies with experts who will speak as part of the program include XPT/NIO, Infineon, McKinsey, Voyage, GM Cruise, Bosch, Deepen AI, Airbus A3, Nvidia, Excelfore, Byton, Macronix, SK Hynix, SAP, Xilinx, Achronics, California Fuel Cell Partnership, Velodyne, Lam Research, KLA-Tencor, SCREEN, Rockwell, Versum Materials, TechSearch International, Entegris, ASE, Amazon, Continental and Wind River. www.semiconwest.orgPaul Doe, SEMI
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Self-driving cars have been all the rage in both the trade and popular press in recent years. I prefer the term “autonomous vehicles,” which more broadly captures the possibilities, encompassing not only small passenger vehicles but mass transit and industrial vehicles as well. Depending on who’s talking, we will all be riding in fully autonomous vehicles in five to 25 years.The five-year estimates come from startups eager to raise venture capital while the 25-year estimates stem from Tier 1 automotive suppliers who tend to be more conservative in outlook. Regardless of the timeframe, a multitude of investors – national governments, venture capitalists and companies – are dedicating significant capital and effort to make autonomous vehicles a reality.I must admit that I did not fully grasp the enthusiasm for self-driving cars until last year. First, I’ve always enjoyed driving, unless I’m in stop-and-go traffic, so I couldn’t imagine relinquishing the task. Second, I’ve deliberately arranged my life to spend minimal time in my car. However, traffic has become much heavier in my metropolitan area (Boston), and I know that many people in cities around the world face longer commutes and waste more time in gridlock.What is the solution to this problem that is only getting worse? I had an epiphany while walking through Shinigawa Station in Tokyo, one of the busiest train stations in the world. Dense streams of people crisscrossed the station on their individual paths, managing to avoid collisions without the aid of traffic controls. Evidently, humans have an innate collision-avoidance ability that makes traffic controls for pedestrian crowds unnecessary. If autonomous vehicles could achieve the same excellence in collision-avoidance, we could potentially reduce or eliminate traffic controls for vehicular traffic, providing a huge gain in transportation efficiency and relief from gridlock.Sensors as core building blocksNew and improved sensors, many based on micro-electromechanical systems (MEMS) technology, are key to achieving this vision. While MEMS inertial sensors (such as accelerometers and gyros) are already integral to the core safety systems in conventional vehicles, they are also essential to improved self-navigation in autonomous vehicles.The challenge for MEMS suppliers is to deliver inertial sensors that meet the requirements for self-navigation systems, which are different and more demanding than for safety systems.Pinpointing a vehicle’s position requires “dead reckoning” based on inertial sensor signals as a supplement to GPS input. Undesirable drift in the inertial sensor signals due to mechanical quadrature, temperature sensitivity and noise can quickly add up to a large error in position that may result in a collision. To meet the more rigorous requirements for autonomous vehicles, suppliers must design MEMS inertial sensors that are substantially more precise and resistant to drift. This requires design software that is both extremely accurate and fast, as well as increasingly precise and reliable manufacturing capabilities.Other MEMS-based devices, such as micromirrors and micro ultrasound transducers (MUTs), are also promising options for implementing vision and range-finding systems in autonomous vehicles. These sensing systems are needed for building electronic versions of the human collision-avoidance abilities that I witnessed in Shinigawa Station – and it is these systems that autonomous vehicles must emulate.When will self-driving cars become a reality? Aside from the provocative question that got you to read this far, I don’t have a definitive answer. It will undoubtedly occur in phases, ranging from the driver-augmentation systems available in today’s cars to the full autonomy and ubiquity that will allow reduction of traffic controls in 20 years or more. It is clear that the ultimate goals for autonomous vehicles are highly worthwhile, and that achieving those goals will require better-performing and more diverse MEMS sensors. Stephen (Steve) Breit, Ph.D. is Senior Director, MEMS Business, at Coventor, a Lam Research Company. Steve has been responsible for overseeing development and delivery of Coventor’s industry-leading software tools for MEMS design automation since joining Coventor in 2000. Steve holds numerous patents on software systems and methods for MEMS design automation and virtual fabrication. He holds a Ph.D. in Ocean Engineering from MIT and a B.S. in Naval Architecture and Marine Engineering from Webb Institute.For more information, visit: https://www.coventor.com
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In Tokyo, Shanghai, Moscow, London, Paris or New York – wherever you are in the world –Japanese vehicles passing by on the roadways are a common sight. Three big reasons are their high quality, reliability and engineering. But Japan’s automakers are also legendary for their industry breakthroughs. A few highlights: In 1981, Honda introduced the first commercially available map-based car navigation system. The carmaker’s Electro Gyro-Cator used a gyroscope to detect rotation and other movements of the car. In 1990, Mazda equipped its COSMO Eunos with the world’s first built-in GPS-navigation system. In 1997, Toyota launched the world’s first mass-produced hybrid car -- Prius. In 1997, Toyota unveiled the world’s first production laser adaptive cruise control on its Celsior. In 2009, Mitsubishi rolled out the world’s first mass-produced electric car – i-MiEV. Off the roadways and often unheralded, it is supply chain companies including Japanese semiconductor makers that were a key engine of these innovations as they continue their rich history of driving automotive advances. Here’s a closer look at some of the key players and why they matter.Who Makes Automotive Semiconductors?Unlike other semiconductors, automotive chips are manufactured not only by integrated device manufacturers (IDMs) but also by captive fabs and automotive components makers such as Toyota and Denso.Denso, headquartered in Aichi prefecture, started in 1949 as a spin-off of Toyota’s electric components unit. Since 2009, the company has been the world’s largest automotive components supplier. Because Denso’s chips are mostly consumed internally, the company’s manufacturing revenue is not publicly available, but analysts estimate Denso’s chip business exceeds 200 billion JPY or USD $1.9 billion.Denso manufactures semiconductor components at two locations. Its Kota plant in Aichi prefecture manufactures power and logic chips, and the company’s Iwate (Iwate prefecture) facility, acquired from Fujitsu in 2012, produces semiconductor wafers and sensors.Denso Fab (Photo: Denso)Denso is developing SiC wafers for its power chips and plans to manufacture SiC inverters by 2020. Recently, the company announced joint research on Ga2O3 for power devices with FLOSFIA, a tech startup spun off from Kyoto University. In 2017, Denso established a semiconductor IP design company, NSITEXE, in Tokyo to design semiconductor IP cores – the semiconductor components that are key to autonomous driving.Toyota has been manufacturing semiconductor chips at its Hirose Plant since 1989. The semiconductor fab design and manufacturing technologies originated at Toshiba and moved to Toyota under a technology transfer agreement signed in 1987. In the power semiconductor arena, Toyota is jointly developing SiC devices with Denso and Toyota Central Research and Development Labs.Other car and component makers like Honda, Nissan, Hitachi Automotive Systems, Aishin Seiki and Calsonic Kansei are also developing and designing semiconductor chips.Microcontroller Units Microcontrollers (MCUs) were first employed in automobiles in the late 1970s to electronically control engines for higher fuel efficiency. Today, up to 80 MCUs are typically used in a car for powertrain controls (engine, fuel management and fuel injection), body controls (seat, door, window, air conditioning and lighting), safety controls (brake, EPS, suspensions, air bags and anti-collision) and infotainment.In December 2015, the microcontroller unit (MCU) supply chain experienced a major consolidation with the nearly $12 billion acquisition of Freescale Semiconductor by NXP Semiconductors, catapulting NXP to the top of the MCU market. NXP and Freescale were ranked second and third in global market share, after Renesas Electronics, at the time. Renesas held 40 percent global market share before its Ibaraki fab suffered severe earthquake damage in 2011 and hemorrhaged share after the loss of production capacity. Renasas continues to recapture market share at a rapid clip, with a growth rate of 5.2 percent and 24.6 percent, respectively, in the first two quarters of 2017, and claims it still leads the global MCU market for automotive applications with 30 percent share (source: Diamond Online, August 2017).Renesas was established as a joint venture of Hitachi and Mitsubishi and later merged with NEC Electronics. Consequently, Resesas’s MCUs, designed with Hitachi’s SH MCU cores, recently began a gradual shift to Arm cores. Renasas MCUs designed at 40nm or less nodes have been manufactured at TSMC, a Taiwan foundry, since 2012.CMOS Image SensorsCMOS image sensors serve as eyes of cars, performing camera functions on-chip. Today, automobiles typically are fitted with about 10 CMOS image sensors, a number forecast to grow to almost 20 by 2020 (source: Monoist, 2016). The sensor was originally used as a backup monitor but deployments grew with the advent of Advanced Driver-Assistance Systems (ADAS). The CMOS image sensor market is estimated to reach $2.3 billion USD by 2021, according to IC Insights. Sony is the global CMOS image sensor market leader, and ON Semiconductor and OmniVision Technology are big players in this growing segment.In 2016, Denso started using Sony’s CMOS image sensors to detect pedestrians during night driving. Sony manufactures CMOS sensors at Kumamoto TEC and Nagasaki TEC on Kyusyu Island. In 2017, Sony acquired Toshiba’s Oita plant to increase the capacity to respond to the growing demand for backside illumination CMOS image sensors for higher resolution images at a low-light environments.Sony’s 7.42 megapixel CMOS image sensor for automotive cameras (Photo: Sony Corporation)Power DevicesPower semiconductors provide electrical control functions such as rectification, voltage regulation (boost/step-down), and DA/AD conversion. The automotive industry’s migration from fossil fuel vehicles to hybrid and electric vehicles is driving strong demand for power devices. The leading power device makers are competing to develop higher performance devices on new materials such as SiC and GaN.For the past five years, the Japan government has funded SiC power device research and development (R D) projects and, in 2016, the National Institute of Advanced Industrial Science and Technology (AIST) and Sumitomo Electric Industries built a 150mm SiC wafer line at AIST’s Super Clean Room Facility in Tsukuba, Ibaraki. The facility supports volume manufacturing, reliability testing and quality assurance.Rohm is driving the Japan SiC power device industry. Rohm manufactures SiC power devices on 75mm, 100mm and 150mm wafers. In 2009, Rohm acquired a German SiC wafer maker, SiCrystal, which started supplying 150mm wafers to Rohm in 2013. Rohm also acquired Renesas Electronics’s Shiga plant (200mm line) in 2016 to manufacture SiC power and other discrete devices.Fuji Electric manufactures various power products including SiC power devices. Fully 30 percent of its products ship to the automotive industry. In 2013, the company built a new SiC line in its Matsumoto plant that includes both wafer process and packaging facilities. Fuji Electric now develops high-performance SiC devices on the latest 150mm SiC wafer technology.Toyota and Denso round out the Japan SiC power device industry. Denso markets its 150mm SiC technology under the “REVOSIC” brand. In 2013, Toyota built a SiC R D facility at its Hirose plant for future SiC captive manufacturing.SiC power semiconductors to improve vehicle’s fuel efficiency by 10 percent (target) (Photo: Toyota Motor Corp.)
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