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The journal Automotive Innovation is sponsored by China SAE, published through Springer, distributed around the world, and reflects the top-level research and technical advance of automotive engineering. Automotive Innovation newsletter in October includes the following contents： 1. Article Recommendation——Three papers on Autonomous Vehicles and Electric Vehicles 2. China SAE News: · Call for Papers: Feature Topic on Coordinated System of Vehicle-Road-Cloud Integration |
  
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A Virtual Prototyping Approach for Development of PMSM on Real-Time Platforms: A Case Study on Temperature Sensitivity René Scheer, Yannick Bergheim, Simon Aleff, Daniel Heintges, Niclas Rahner, Rafael Gries & Jakob Andert |
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| This paper presents a comprehensive evaluation of system interactions in a battery electric vehicle caused by temperature sensitivity of permanent magnet synchronous machines (PMSM). An analytical model of a PMSM considering iron losses and thermal impact is implemented on a field programmable gate array suitable for hardware-in-the-loop testing. By the presented virtual prototyping approach, different machine characteristics defined by the design are used to parameterize the analytical model. The investigated temperature effect is understood as an interacting influence between machine characteristics and control, which are investigated in terms of torque generation, voltage utilization and efficiency under closed-loop condition in a vehicle environment. In particular, using a surface permanent magnet rotor and an interior permanent magnet rotor, the performance of both machine designs is analyzed by varying temperature-adjusted feedforward control strategies on the basis of a driving cycle from a racetrack. The comparison shows that the machine design with surface-mounted magnets is associated with higher temperature sensitivity. In this case, the temperature consideration in the feedforward control provides a 14% loss reduction in closed-loop vehicle test operation. It can be summarized that the electromagnetic torque is less sensitive to a temperature variation with increasing reluctance. The presented development approach demonstrates the impact of interactions in electric powertrains without the need of real prototypes. | |||
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Keywords: FPGA · PMSM · Iron loss · FEM · Spatial harmonics · RT-MIL · Virtual prototyping · Frontloading · Closed-loop vehicle simulation Scheer, R., Bergheim, Y., Aleff, S. et al.: A virtual prototyping approach for development of PMSM on real-time platforms: a case study on temperature sensitivity. Automot. Innov. 5, 285–298 (2022) |
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Performance Evaluation Method for Automated Driving System in Logical Scenario Peixing Zhang, Bing Zhu, Jian Zhao, Tianxin Fan & Yuhang Sun |
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| With the continuous improvement of automated driving technology, how to evaluate the performance of an automated driving system is attracting more and more attention. Meanwhile, with the creation of scenario-based test methods, the traditional evaluation index based on a single test can no longer meet the requirements of high-level safety verification for automated driving system, and the performance evaluation of such a system in logical scenarios will be the mainstream. Based on the scenario-based test method and Turing test theory, a performance evaluation method for an automated driving system in the whole parameter space of a logical scenario is proposed. The logical scenario parameter space is partitioned according to the risk degree of concrete scenario, and the evaluation process in different zones are determined. Subsequently, the anthropomorphic index in the safe zone and the collision-avoidance index in the danger zone are defined by comparing test results of human driving and ideal vehicle motion. Taking front vehicle low-speed and cut-out scenarios as examples, two automated driving algorithms are tested in the virtual environment, and the test results are evaluated both by the proposed method and by human observation. The results show that the results of the proposed method are consistent with the subjective feelings of humans; additionally, it can be applied to scenario-based tests and the verification process of an automated driving system. | |||
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Keywords: Automated driving system · Logical scenario · Performance evaluation · Anthropomorphic index
Zhang, P., Zhu, B., Zhao, J., et al.: Performance Evaluation Method for Automated Driving System in Logical Scenario. Automotive Innovation 5 (3), 299–310 (2022) |
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Modeling and Decentralized Predictive Control of Ejector Circulation-Based PEM Fuel Cell Anode System for Vehicular Application Bo Zhang, Dong Hao, Jinrui Chen, Caizhi Zhang, Bin Chen, Zhongbao Wei & Yaxiong Wang |
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| The dynamic response of fuel cell vehicle is greatly affected by the pressure of reactants. Besides, the pressure difference between anode and cathode will also cause mechanical damage to proton exchange membrane. For maintaining the relative stability of anode pressure, this study proposes a decentralized model predictive controller (DMPC) to control the anodic supply system composed of a feeding and returning ejector assembly. Considering the important influence of load current on the system, the piecewise linearization approach and state space with current-induced disturbance compensation are comparatively analyzed. Then, an innovative switching strategy is proposed to prevent frequent switching of the sub-model-based controllers and to ensure the most appropriate predictive model is applied. Finally, simulation results demonstrate the better stability and robustness of the proposed control schemes compared with the traditional proportion integration differentiation controller under the step load current, variable target and purge disturbance conditions. In particular, in the case of the DC bus load current of a fuel cell hybrid vehicle, the DMPC controller with current-induced disturbance compensation has better stability and target tracking performance with an average error of 0.15 kPa and root mean square error of 1.07 kPa. | |||
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Keywords: Proton exchange membrane fuel cell · Hydrogen ejector · System disturbance · Decentralized model predictive control · Hydrogen pressure control Zhang, B., Hao, D., Chen, J. et al. Modeling and Decentralized Predictive Control of Ejector Circulation-Based PEM Fuel Cell Anode System for Vehicular Application. Automot. Innov. 5(3), 333–345 (2022) |
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| Call for Papers: Feature Topic on Coordinated System of Vehicle-Road-Cloud Integration | |||
 Guest Editors-in-Chief: · Prof. Keqiang Li, Professor at School of Vehicle and Mobility, Tsinghua University, Academician of Chinese Academy of Sciences · Prof. Timothy Gordon, Professor of School of Engineering in College of Science, University of Lincoln · Prof. Yuanqing Xia, Professor and Director of School of Automation, Beijing Institute of Technology · Prof. Henry Liu, Professor at University of Michigan, Director of Centre for Connected and Automated Transportation · Dr. Bolin Gao, Associate Research Professor at the School of Vehicle and Mobility, Tsinghua University, and Deputy Secretary General of the Youth Committee of China SAE Topics: · Concept and architecture of the Coordinated System of Vehicle-Road-Cloud Integration · Configuration design method of cooperative perception in the coordinated system · Fusion planning method for ICVs in mixed traffic conditions · Coordinated control method of connected vehicles under V2X situation · Key technologies of the cloud control system and Cyber-Physical System Submission deadline: March 30, 2023 Submit at: www.springer.com/42154 To download call for paper, please click here . |
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| FCVC 2022 rescheduled to Dec. 7-9, 2022 | |||
 The 7th International Hydrogen Fuel Cell Vehicle Congress (FCVC 2022) will be rescheduled to Dec. 7-9, 2022 in Shanghai, China. The annual FCVC has seen growing influence in the industry with its international, authoritative, professional and forward-looking features. It has become an annual grand event for the policymakers, enterprise leaders, industry elites and scholars and experts of China and abroad to jointly discuss the development of the industry. FCVC 2022 will have 3 plenary sessions, 150+ keynote speeches, 200+ exhibitors, and 10,000+ delegates & visitors. Conference website： http://www.fcvc.org.cn/ |
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| ISC 2022 Significant Release︱SOTIF Shared Scenario Database, Test, and Evaluation Technology for ICVs | |||
 SOTIF Shared Scenario Database, Test, and Evaluation Technology for ICVs was released at the 4th FISITA Intelligent Safety Conference (ISC 2022). SOTIF, safety of the expected functionality, as an important aspect of autonomous driving safety, focuses on the safety problems caused by insufficient functions, performance limitations, and reasonably foreseeable personnel misuse. The CAICV-SOTIF Working Group is dedicated to promoting collaborative innovation SOTIF. SOTIF Shared Scenario Database, Test, and Evaluation Technology for ICVs released by the SOTIF Working Group covers research methodology and relevant applications, and comprehensively demonstrates the research progress achieved by the Working Group on SOTIF. The new release was reported by Dr. Hong Wang, Associate Research Professor at School of Vehicle and Mobility, Tsinghua University and Deputy Executive Director of CAICV-SOTIF Technical Alliance. The main contents of the results include: SOTIF evaluation methods based on key scenarios, SOTIF scenarios sharing platform, Aerial photography dataset, SOTIF-related technical reports, standards, and publications. For more details, please click here to view. |
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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 22,000. The journal is indexed in Ei Compendex, ESCI, and Scopus (CiteScore=4.1). 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 Honorary and Founding Executive Editor-in-Chief Prof. Fangwu (Mike) Ma Executive Associate Editor-in-Chief Prof. Xinjie Zhang, Professor of Jilin University |
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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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