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Heating Lithium-Ion Batteries at Low Temperatures for Onboard Applications: Recent Progress, Challenges and Prospects
Cheng Lin, Yu Tian, Rui Xiong, Mingjie Zhao, Wenwei Wang
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Lithium-ion batteries (LIBs) are commonly used in electric vehicles (EVs) due to their good performance, long lifecycle, and environmentally friendly merits. Heating LIBs at low temperatures before operation is vitally important to protect the battery from serious capacity degradation and safety hazards. This paper reviews recent progress on heating methods that can be used onboard. The existing methods are divided into two categories, namely external heating methods and internal heating methods, mechanisms, advantages and limitations of each method are systematically reviewed. Then, the rates of temperature rise, energy consumptions, and maximum temperature gradient of different methods are quantitatively summarized to compare the heating performances of each method. In addition, features related to the onboard application of each method are qualitatively compared, which is essential for the rapid cold start of EVs in frigid weather. Finally, prospects of external and internal heating methods are given. This paper aims to provide researchers and engineers with guidelines about how to select a method based on their requirements and application environments.
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Keywords: Electric vehicle, Lithium-ion battery, Battery heating, Battery thermal management
Lin, C., Kong, W., Tian, Y. et al.: Heating Lithium-Ion batteries at low temperatures for onboard applications: recent progress, challenges and prospects. Automot. Innov. 5(1), 3-17 (2022)
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Analysis and Collaborative Control Strategy of Novel Non-interruption Propulsion System for All-climate Electric Vehicles
Cheng Lin, Yu Xiao, Mingjie Zhao, Jiang Yi, Ruhui Zhang
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Over the past decade, the electric vehicle industry of China has developed rapidly, reaching one of the highest technological levels in the world. Nevertheless, most electric buses currently serve urban areas, being unsuitable for all-climate operations. In response to the objective of massively adopting electric vehicles for transportation during all the events of the 2022 Beijing Winter Olympics, a dual-motor coaxial propulsion system for all-climate electric vehicles is proposed. The system aims to meet operating requirements such as high speed and adaptability to mountainous roads under severely cold environments. The system provides three operating modes, whose characteristics are analyzed under different conditions. In addition, dual-motor collaborative control strategy with collaborative gearshift and collaborative power distribution is proposed to eliminate power interruption during gearshift process and achieve intelligent power distribution, thus improving the gearshift quality and reducing energy consumption. Finally, gear position calibration for all-climate operation and proper gearshift is introduced. Experimental results demonstrate the advantages of the proposed dual-motor coaxial propulsion system regarding gearshift compared with the conventional single-motor automatic transmission.
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Keywords: Dual-motor coaxial propulsion system, Collaborative control, Gear position calibration, All-climate operation
Lin, C., Yu, X., Zhao, M. et al.: Collaborative control of novel uninterrupted propulsion system for all-climate electric vehicles. Automot. Innov. 5(1), 18-28 (2022)
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Coupler Robust Optimization Design for Electric Vehicles Wireless Power Transfer Based on Improved Simulated Annealing Algorithm
Zhenpo Wang, Lantian Li, Junjun Deng, Baokun Zhang, Shuo Wang
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Fleets of autonomous vehicles including shuttle buses, freight trucks, and road sweepers will be deployed in the Olympic Village during Beijing 2022 Winter Olympics. This requires intelligent charging infrastructure based on wireless power transfer technology to be equipped. To increase the misalignment tolerance of a high-power wireless charger, the robustness of the magnetic coupler should be optimized. This paper presents a new type of unipolar coupler, which is composed of three connected coils in series. The dimensional configuration of the coils is analyzed by the finite element method. The characteristic parameters of the coil are identified with their influence on the self-inductance and coupling coefficient. An expert model is built, whose feasibility can be verified in the aimed design domain. Combined with the expert model, an improved simulated annealing algorithm with a backtracking mechanism is proposed. The primary coil can reach the expected characteristics from any starting parameter combination through the proposed optimization algorithm. Under the same conditions in terms of external circuit parameters, ferrite usage, and aluminum shielding, the offset sensitivity of the magnetic coupler can be reduced from 58.79% to 18.89%. A prototype is established, validating the feasibility of the proposed coil structure with the optimized parameter algorithm.
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Keywords: Wireless power transfer, Magnetic coupler, Simulated annealing algorithm, Robust optimization
Wang, Z., Li, L., Deng, J. et al.: Magnetic coupler robust optimization design for electric vehicle wireless charger based on Improved Simulated Annealing Algorithm. Automot. Innov. 5(1), 29-42 (2022)
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Crowdsourced Road Semantics Mapping based on Pixel-wise Confidence Level
Benny Wijaya, Jiang Kun, Mengmeng Yang, Tuopu Wen, Xuewei Tang, Diange Yang
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High-definition map has become a vital cornerstone in the navigation of autonomous vehicles in complex traffic scenarios. Thus, the construction of high-definition maps has become crucial. Traditional methods relying on expensive mapping vehicles equipped with high-end sensor equipment are not suitable for mass map construction because of the limitation imposed by its high cost. Hence, this paper proposes a new method to create a high-definition road semantics map using multi-vehicle sensor data. The proposed method implements crowdsourced point-based visual SLAM to align and combine the local maps derived by multiple vehicles. This allows users to modify the extraction process by using a more sophisticated neural network, thus achieving a more accurate detection result when compared with traditional binarization method. The resulting map consists of road marking points suitable for autonomous vehicle navigation and path-planning tasks. Finally, the method is evaluated on the real-world KAIST urban dataset and Shougang dataset to demonstrate the level of detail and accuracy of the proposed map with 0.369 m in mapping errors in ideal condition.
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Keywords: Crowdsourced mapping, Map fusion, SLAM, Semantic mapping
Wijaya, B., Jiang, K., Yang, M. et al.: Crowdsourced road semantics mapping based on pixel-wise confidence level. Automot. Innov. 5(1), 43-56 (2022)
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ISC 2022 Call for Extended Abstracts
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China SAE and FISITA are delighted to confirm that the FISITA Intelligent Safety Conference 2022 (ISC 2022) will take place 30-31 August 2022, in Beijing, China, with physical and online participation available to registered participants.
ISC 2022 will again see an international speaker line up considering some of the most important topics within the safety of future mobility arena, including SOTIF, Cybersecurity, Human Factors, and Intelligent Safety Protection. The ISC Committee invites you to submit an extended abstract for ISC 2022.
Paper submission deadline: April 30, 2022
Submission website: www.fisita.com/isc.
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Automotive Innovation Workshop can be accessed online
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Automotive Innovation Workshop was successfully held online on March 22, 2022.
The workshop delivered a high-quality, international speaker line-up, which seeks to identify challenging problems facing the development of autonomous vehicles. It attracts over 43k viewers in the live-stream.
Organized by: China SAE, Automotive Innovation
Co-organized by: School of Automotive Studies, Tongji University; China SAE Intelligent Vehicle & Transportation Committee
Chair: Prof. Guang Chen, Associate Editor-in-Chief of Automotive Innovation, Research Professor at Tongji University
Co-chair: Prof. Wei Tian, Assistant Professor at Tongji University

Videos of Automotive Innovation Workshop can be accessed online via Knowledge Center of China SAE , and only China SAE members could access them. You can join China SAE member here .
For detailed information, please click here.
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China Vehicle Production and Sales Analysis in 2021
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AUIN Abstract Collection offers access to locate all papers published on Automotive Innovation. All articles published in the journal since 2018 are listed according to the publication time and technical field.
Please click here to download the file.
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Automotive Innovation
Sponsored by China SAE and published globally via Springer Nature, Automotive Innovation aims to be a world-class journal that provides abundant sources of innovative findings for automotive engineers and scientists. The journal is published quarterly, ensuring high-quality papers satisfying international standards. With the editorial board consisting of world-renowned experts, it has attracted readers from 72 countries and regions. The highest download of a single article wins more than 20,000. The journal is indexed in Ei Compendex, ESCI, and Scopus.
The journal provides a forum for the research of principles, methodologies, designs, theoretical background, and cutting-edge technologies in connection with the development of vehicle and mobility. The main topics cover: energy-saving, electrification, intelligent and connected, safety, and emerging vehicle technologies.
Editors-in-Chief
Jun Li, Academician of CAE, President of China SAE, Professor of Tsinghua University
Frank Zhao, Honorary Lifetime President of FISITA, Director of Tsinghua Automotive Strategy Research Institute, Professor of Tsinghua University
Executive Editor-in-Chief
Prof. Mike Ma,Executive Chief Editor of Automotive Innovation, Professor of Jilin University, VP Technical FISITA
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Paper submission and browse
www.ChinaSAEJournal.com.cn
www.springer.com/42154
Contacts:
Ms. Lily Lu
Tel: +86-10-50950101
Email: jai@sae-china.org
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Sponsored by
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