SAE China 2019 (1): CASE initiatives of China OEMs and DiDi’s high-precision mapping

Dongfeng electrification, Changan’s intelligent vehicle plans, and big data

2019/11/26

Summary

张进华 主持并宣布大会开始
Mr. Jinhua Zhang, President and Secretary-General of the Society of Automotive Engineers of China, chaired and declared the opening of the SAE China Congress.

 The Society of Automotive Engineers (SAE) of China Congress & Exhibition was held at the Shanghai Automobile Exhibition Center from October 22 to 24, 2019. For this year’s congress, 330 thematic presentations were solicited from lecturers in China and abroad, including many members of the Chinese Academy of Engineering, and 108 technical papers were presented. The congress was attended by more than 3,000 R&D engineering delegates from OEMs and parts suppliers in China and abroad, and more than 10,000 professionals from the automotive industry visited the exhibition. 

 The Chinese automotive market has been trending downwards since 2018, but the Chinese government and the automotive and related industries are on the road that China must take to achieve its goal of becoming an automotive giant, and regard the current period as one of transformation from that of increasing volumes to one of improving quality. The event successfully demonstrated, from the national governmental level to throughout the industry, confidence in the long-term growth of the Chinese automotive industry.

 The main theme of the SAECCE was “Automobile Plus, Collaborative Innovation”, emphasizing that this theme will be key to seizing opportunities, challenging hot topics, and realizing industrial transformation and upgrading across all related industries. The congress consisted of technical sessions on the newest technologies and hot topics in the automotive industry such as the four new automotive technological megatrends (electrification, connected, intelligent, sharing; similar to CASE) as well as artificial intelligence (AI), intelligent networks, 5G, powertrains, new energy, safety and testing, and regulations. This report introduces summaries of the event and details of the keynote presentations held on the first day of the congress.

 

Related reports:
CTI Symposium China 2019:Automotive drivetrains, Intelligent, Electrified(Nov. 2019)
SAE China 2018 :Intelligent and Connected Cars(Feb. 2019)
SAE China 2018:NEVs and Big Data(Feb. 2019)
SAE China 2018:NEV industry and related policies(Jan.2019)

 

 

 



"Internal ability, enabling, and empowerment" enables the development of the Chinese automotive industry

李俊 致开幕词
Opening remarks by Dr. Jun Li, an academician of the Chinese Academy of Engineering and the president of the China Society of Automotive Engineers.

 Dr. Jun Li, a member of the Chinese Academy of Engineering and the president of the China Society of Automotive Engineers made the following remarks in his opening address. China's automobile production and sales volumes in the January to September 2019 timeframe were 18.149 million and 18.371 million units respectively. This reflects a year-over-year (YoY) decline of 11.4% in production and 10.3% in sales. The production volumes of own-brand cars decreased by 18.5% YoY to 5.903 million units, and the automotive industry is in a difficult situation due to intense market pressure. However, from a long-term perspective, China will continue to remain a core region of the global automotive market into the future. In the automotive industry, the four new technological megatrends (electrification, connected, intelligent, sharing) have become commonly recognized, providing direction on the transformation and upgrading of the global automotive industry. To accelerate industry expansion, cooperation and collaboration is required across all industries and emerging technologies including automobiles, energy, communications and transportation. The China SAE wants to promote the development of the Chinese automotive industry by harnessing “internal energy, enabling, and empowering” with regards to China’s automotive engineering talent.

 “Internal energy” refers to the “innate ability” of China’s talent. China needs to take responsibility for developing its own automobile industry. Engineers will continue to be in great demand for the traditional automotive industry for years to come. So, we members of the China SAE must continue to maintain our beginner’s mind and bring new talent into the fold to increase our internal energy. “Enabling” refers to the “effective use of capability (energy)”. The significance of this means that new energy will be acquired with the introduction of new automotive functions with products such as batteries, motors, electronic control systems, and millimeter-wave radars. “Enabling” leads to “empowerment”. The automotive industry is now at a historic turning point. The word “connected” used in Intelligent Connected Cars is precisely one of the issues that can be addressed through empowerment to promote the expansion of the automotive industry. This requires the industry to achieve technological breakthroughs in areas such as sensing, decision making, positioning, maps, AI, and 5G to support the growth of connected cars. For example, in areas such as Singapore and the Xiong'an New Area in China, government-coordinated projects have been aggressively creating smart cities and the made-to-order transportation infrastructure and roads that will be required for the future era of mobility.

 

 

 



Dongfeng Motor's own brand electrification technology plan

谈民强 介绍东风的电动化技术规划方案
Mr. Mingiang Tan, Director of the Dongfeng Motor Corporation Technical Center, introducing Dongfeng’s electrification plan.

 Mr. Minqiang Tan, Director of the Dongfeng Motor Corporation Technical Center introduced the technology plan for Dongfeng's own brand electrification development strategy, as follows. Regulations on exhaust gas and fuel consumption are becoming stricter day by day, and it is predicted that by 2030 vehicles manufactured in the future will not be able to satisfy the regulatory requirements unless those vehicles are electrified, including HEV and 48V technologies. In addition, the demand for electric vehicles will gradually shift from being policy-driven to market-driven. To face those changes, Dongfeng will push forward with its electrification development strategy.

 As part of its technological response to electrification, Dongfeng is developing three dedicated platforms for the economy, mid-range, and mid/high-end models of the BEV (battery electric vehicle) market segment. The economy and mid-range platforms will be used for standard economy vehicle platforms, and the sedans of the mid/high-end models are being developed using a common platform that will be shared with SUVs and MPVs.

 Dongfeng has four models of BEV drive modules to be used on the company’s three own brand platforms, the BD70, BD90, BD160, and BD240, providing 70kW to 240kW of power and 100Nm to 500Nm of torque.

 The company has two platforms for its hybrid drive powertrains, the HD80 and HD120. The maximum output of the drive motor is 90 to130kW, with a maximum torque of 100Nm to 300Nm. These are adopted for REVs (Range Extenders Vehicles), PHEVs, and HEVs.

 Dongfeng has five models of battery pack modules used on its two platforms: HEV platform (2 models) and EV platform (3 models). The EV platform module has a range of up to 600km in NEDC mode, a battery pack energy density of up to 220Wh/kg, and HEV fuel economy has been improved by more than 30%.

 Dongfeng is also deepening its knowledge in the development of gasoline engines for electrified vehicle applications. Adopting technologies such as Atkinson cycle, externally cooled EGR, friction reduction, thermal management, increased engine thermal efficiency, and optimized gasoline engines using hybrid control strategies will enable further improvements in fuel economy.

 

 

 



Changan Automobile Connected Car Development Plan and Practices

刘波 阐述了长安在智能网联方面的工作内容
Changan Automobile EVP Bo Liu introducing the specifics of Changan’s IoV operations.

 Mr. Bo Liu, Executive Vice President of Changan Automobile, described the significant changes that autonomous driving brings to the transportation system and how to integrate autonomous driving. At the same time, he pointed out a number of challenges entailed in the development of autonomous driving technology, and concluded his presentation by introducing new achievements in Changan Automobile's IoV (Internet of Vehicle) domain.

 According to Mr. Bo Liu, deciding how to establish the autonomous driving industry is not something that can be accomplished easily. However, Changan is taking a step-by-step approach to solving the problems associated with the realization of autonomous driving from Level 1 to Level 4 capability, starting with the problems of most concern to users (e.g. automated parking and emergency braking for sudden driving events), which are required to gradually improve the user experience. Changan believes that by first developing technologies to address the four scenarios below, in combination with its current level of autonomous driving technologies, it will eventually be able to develop autonomous vehicles with Level 3 and Level 4 capability.

  1. Low speed automatic driving in traffic jams
  2. “Last One Mile” valet parking
  3. Shuttle buses operating within areas such as parks and housing complexes
  4. Unmanned taxis in restricted areas

 Regarding the problems faced by autonomous driving, Mr. Liu said that the technical aspects (e.g. laser radar, high-precision maps, cloud platform, big data) are still immature and have low market acceptance, and that the industry faces hurdles to be overcome such as those created by policies and regulations, and the transportation infrastructure, but emphasized that the largest obstacle faced by autonomous driving technology is the high cost of development.

 In his concluding remarks, Mr. Bo Liu introduced some of the achievements Changan’s own brand has made in its intelligent mobility domain over the past few years. In August 2018, Changan Automobile announced its intelligent mobility strategy named “Dubhe” with the aim of by building differentiated competitiveness by transforming itself from a traditional car manufacturer to an intelligent mobility company. In line with its intelligent strategy, 100% of all new Changan vehicles will be connected and equipped with advanced driver-assistance systems by 2020, and Changan will complete the development of its Level 3 autonomous driving platform. By 2025, 100% of all new Changan vehicles will be equipped with voice-activated control functionality and Changan will have developed a Level 4 autonomous driving platform. Each year, more than 10% of Changan’s research and development expenses are allocated to the development of IoV technologies. With regards to Changan’s IoV development capability and research infrastructure, the company will further emphasize and learn more about the core technologies associated with autonomous driving, and develop its expertise in the areas of data, core algorithm, and the four major capabilities (EE electronic and electrical architecture, software integration, interactive integration, and user portals). Maintaining its development independence, Changan will create its own autonomous driving development platform, construct a science and technology innovation development process, establish a measurement and testing evaluation system, and focus on the construction of measurement and testing facilities.

 As one of the results of Changan IoV R&D efforts, Mr. Bo Liu drew attention to the Changan CS75 PLUS, which was released in September 2019. This model is the first car in China to be equipped with a (APA5.0) remote control and valet parking feature. The system automatically searches for parking spots in a 20 meter radius, and automatically identifies objects such as parking space lines, vehicles, and pedestrians. The vehicle parts itself with the user outside of the vehicle using a smartphone app and remote control key, which is suitable for 95% of everyday scenarios. The remote control parking feature is the world's most sophisticated system on any vehicle currently in production. This feature has been well received by the market and has surpassed the company’s expectations, leading to strong sales of the CS75 PLUS.

 

 

 



DiDi's research and expertise in the field of autonomous driving

韦峻青 分享了无人驾驶领域的开发经验
Dr. Junqing Wei, Chief Technology Officer, DiDi Autonomous Driving Company, demonstrates the company’s experience in autonomous driving development.

 DiDi's mobility business is familiar to everyone in China, but in order to further adapt to needs of future mobility, in 2016 the company created an autonomous driving technology development team, which has already launched a number of technologies such as high-precision maps and sensing systems. The team now has more than 200 employees and is currently conducting R&D and testing across Central America. In August 2019, DiDi Chuxing announced that it would spin off its autonomous driving business unit into an independent company to focus on the development of autonomous driving (to promote the transformation of the taxi and bus industries and help cities develop smart transportation solutions). During the SAE China 2019 Congress, Dr. Junqing Wei, Chief Technology Officer of DiDi Autonomous Driving Company, presented his ideas and experience in the area of autonomous driving.

 According to Dr. Junqing Wei, every year DiDi’s research and development efforts in the field of mobility is approached from two directions. The first is to increase its capability to respond to ride-sharing requests more efficiently by optimizing machine learning technology, and the other is to improve the efficiency and safety of its mobility services by optimizing driver monitoring technology. DiDi has just received permits from local governments for connected car road testing and is currently conducting pilot testing (of robotaxi services) using 30 self-driving cars in certain areas of Shanghai and Suzhou.

 An important technology indispensable for autonomous driving is high-precision maps. As a science and technology company, DiDi has world-leading experience, especially in the construction and verification of high-precision maps. Using the nationwide network of DiDi, hundreds of thousands of sensor-equipped vehicles obtain information and constantly collect, maintain, and update data. Currently, the DiDi research and development team has already constructed centimeter-level, high-precision maps spanning a distance of 2,000 kilometers.

 In sensing systems, DiDi has certain advantages, including big data, machine learning algorithms, and cloud computing. Currently, it has the world's largest tag data network that it constructed independently and is engaged in the training of sensing systems. DiDi employs some of the world's top level scientists who are constantly updating the system using machine learning. In addition, DiDi has a cloud platform and provides automated driving services with the sensing data detected and collected leveraging its big data processing capabilities.

 DiDi believes that there is a big difference in the driving decisions made during Level 2 to Level 4 autonomous driving. Advanced driver-assistance systems such as the adaptive cruise control (ACC) and lane keeping modules in vehicles with Level 2 capability are simply a build-up of the decision making process. However, the architecture required for complex road conditions is completely different, so it is necessary to constantly optimize the configuration to improve the autonomous driving experience.

 

 

 



How big data drives transformation in the automotive industry

陆敏 分享了大数据给汽车产业带来的变革经验

Mr. Min Lu, Chairman of the Board and CEO of Autohome, Inc., discussing the transformation that big data brings to the automotive industry.

 Autohome is the leading online platform in the world, providing information and services to automobile consumers in China, and the company has a relatively large influence on domestic and foreign car media. Mr. Min Lu, Chairman of the Board and CEO, shared his experiences on how big data will drive transformation in the automotive industry.

 At present, the Autohome portal is accessed by 43 million users daily, and data on 500,000 prospective customers is provided to dealers as sales reference information. Autohome is currently shifting to digitalization, and is greatly expanding its utilization of big data.

 There are two types of big data that Autohome generates every day: consumer behavior data and consumer attitude data. The behavior data is information such as user searches (excursions) within the site, content of interest, points of interest, and the process followed by a person who purchases a car. Attitude data is interactive data, where the user provides information regarding their evaluation or opinion of a car model they like. When these two sets of data are consolidated, they become valuable information for OEMs, dealers, the distribution industry, and future areas of technology R&D.

 Mr. Min Lu introduced certain achievements Autohome has benefitted from during the transformation of the automotive industry. Regarding intelligent marketing in China, it is legally permitted to use information such as user discussions with OEMs and prospective customer data. This is a unique method of marketing, especially for the global automotive industry, and a sign of confidence and ability in utilizing big data. In addition to this, by collaborating with OEMs, it is expected that they will be able to shorten their development cycle per new model by 25% by using consumer feedback data and competitive product data provided by Autohome. Mr. Lu would like to maintain a research platform that is open to collaborators in real time, to quickly feedback information and enable the efforts of its R&D team.

 



Cyber Physical System Reference Architecture of Intelligent and Connected Vehicle 1.0 announced

 Next generation artificial intelligence, big data, and cloud computing will revolutionize the automobile traffic system. An intelligent connected car can be considered a complex cyber physical system (CPS) in which automobiles, traffic, information, and communication systems are tightly integrated. CPS is a next generation intelligent system that integrates computing, communication and control. In the U.S., the Department of Transportation has announced the Architecture Reference for Cooperative and Intelligent Transportation (up to ARC-IT version 8.3). In Europe, the Horizon2020 program designed the C-MobILE project, which enables large-scale, real-life C-ITS (Connected Intelligent Transport System) to be deployed by local governments across Europe. China's infrastructure standards, network operating standards, automobile product standards, etc. differ from that of other countries, so the industry is urgently wanting to construct a connected car system architecture that is designed specifically for the situation in China. At this year’s event, the “Cyber Physical System Reference Architecture of Intelligent and Connected Vehicle 1.0” was announced, a roadmap for the China automotive ecosystem that was jointly created over a one year period in collaboration with industry, academia, and key related organizations such as Tsinghua University and the China Academy of Information and Communications Technology (CAICT). The announcement has important implications for the development of connected car programs in China, the overall design of complex systems, and initiatives related to the upgrading of the industry chains of automotive, transportation and information technology.

 Also, at this year’s event, a ceremony was held to commemorate the publication of the “Electric Vehicle Engineering Handbook”. Currently, China has the largest number of EVs in the world. This handbook summarizes over 20 years of theory, technology, and product innovation in the China domestic automotive industry, and includes the revised standards and regulations. This is a reference book that summarizes the key technologies specific to EVs, and was compiled and completed over the course of three years by hundreds of experts under the guidance of the China Society of Automotive Engineers.

发布智能网联汽车信息物理参考架构1.0 电动汽车工程手册 首发仪式
Mr. Keqiang Li, Chief Scientist of the China Industry Innovation Alliance for the Intelligent and Connected Vehicles, announced the Cyber Physical System Reference Architecture of Intelligent and Connected Vehicle 1.0. Ceremony commemorating the publication of the “Electric Vehicle Engineering Handbook” compiled by hundreds of experts over the course of three years.

 

 

 

 

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Keywords:
China, China SAE, BEV, platform, autonomous driving, parking assist, remote controlled, valet parking, high-precision maps, sensing, Big data, Dongfeng Motors, Changan Automobile, DiDi, EV, HV, HEV, PHV, PHEV, REV, 48V,  own brand, AI, cloud, machine learning, ACC

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