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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 December includes the following contents： 1. Article Recommendation——Three papers on intelligent and connected vehicles and fuel cell vehicles 2. China SAE News: · Papers published on Automotive Innovation in 2021 |
  
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Review of DC-DC Converter Topologies Based on Impedance Network with Wide Input Voltage Range and High Gain for Fuel Cell Vehicles Review of DC-DC Converter Topologies Based on Impedance Network with Wide Input Voltage Range and High Gain for Fuel Cell Vehicles |
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| The development of fuel cell vehicles (FCVs) has a major impact on improving air quality and reducing other fossil-fuel-related problems. DC-DC boost converters with wide input voltage ranges and high gains are essential to fuel cells and DC buses in the powertrains of FCVs, helping to improve the low voltage of fuel cells and “soft” output characteristics. To build DC-DC converters with the desired performance, their topologies have been widely investigated and optimized. Aiming to obtain the optimal design of wide input range and high-gain DC-DC boost converter topologies for FCVs, a review of the research status of DC-DC boost converters based on an impedance network is presented. Additionally, an evaluation system for DC-DC topologies for FCVs is constructed, providing a reference for designing wide input range and high-gain boost converters. The evaluation system uses eight indexes to comprehensively evaluate the performance of DC-DC boost converters for FCVs. On this basis, issues about DC-DC converters for FCVs are discussed, and future research directions are proposed. The main future research directions of DC-DC converter for FCVs include utilizing a DC-DC converter to realize online monitoring of the water content in FCs and designing buck-boost DC-DC converters suitable for high-power commercial FCVs. | |||
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Keywords: Fuel cell vehicles, DC-DC boost converter, Evaluation systems and indexes, High gain topology Wu, X., Wang, J., Zhang, Y. et al.: Review of DC-DC converter topologies based on impedance network with wide input voltage range and high gain for fuel cell vehicles. Automot. Innov. 4(4), 351–372 (2021) |
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Simulator Coupled with Distributed Co-Simulation Protocol for Automated Driving Tests Max-Arno Meyer, Lina Sauter, Christian Granrath, Hassen Hadj-Amor & Jakob Andert |
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| To meet the challenges in software testing for automated vehicles, such as increasing system complexity and an infinite number of operating scenarios, new simulation methods must be developed. Closed-loop simulations for automated driving (AD) require highly complex simulation models for multiple controlled vehicles with their perception systems as well as their surrounding context. For the realization of such models, different simulation domains must be coupled with co-simulation. However, widely supported model integration standards such as functional mock-up interface (FMI) lack native support for distributed platforms, which is a key feature for AD due to the computational intensity and platform exclusivity of certain models. The newer FMI companion standard distributed co-simulation protocol (DCP) introduces platform coupling but must still be used in conjunction with AD co-simulations. As part of an assessment framework for AD, this paper presents a DCP compliant implementation of an interoperable interface between a 3D environment and vehicle simulator and a co-simulation platform. A universal Python wrapper is implemented and connected to the simulator to allow its control as a DCP slave. A C-code-based interface enables the co-simulation platform to act as a DCP master and to realize cross-platform data exchange and time synchronization of the environment simulation with other integrated models. A model-in-the-loop use case is performed with the traffic simulator CARLA running on a Linux machine connected to the co-simulation master xMOD on a Windows computer via DCP. Several virtual vehicles are successfully controlled by cooperative adaptive cruise controllers executed outside of CARLA. The standard compliance of the implementation is verified by exemplary connection to prototypic DCP solutions from 3rd party vendors. This exemplary application demonstrates the benefits of DCP compliant tool coupling for AD simulation with increased tool interoperability, reuse potential, and performance. | |||
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Keywords: Distributed co-simulation protocol, Co-simulation, Automated driving, Traffic simulation, Tool coupling
Meyer, MA., Sauter, L., Granrath, C. et al.: Simulator coupled with distributed co-simulation protocol for automated driving tests. Automot. Innov. 4(4), 373–389 (2021) |
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Kalman Filter-Based Fusion Estimation Method of Steering Feedback Torque for Steer-by-Wire Systems Lin Zhang, Qiang Meng, Hong Chen, Yanjun Huang, Yang Liu & Konghui Guo |
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| Universal challenge lies in torque feedback accuracy for steer-by-wire systems, especially on uneven and low-friction road. Therefore, this paper proposes a fusion method based on Kalman filter that combines a dynamics-reconstruction method and disturbance observer-based method. The dynamics- reconstruction method is designed according to the vehicle dynamics and used as the prediction model of the Kalman filter. While the disturbance observer-based method is performed as an observer model of the Kalman filter. The performance of all three methods is comprehensively evaluated in a hardware-in-the-loop system. Experimental results show that the proposed fusion method outperforms dynamics reconstruction method and disturbance observer-based method. Specifically, compared with the dynamics-reconstruction method, the root mean square error is reduced by 36.58% at the maximum on the flat road. Compared with the disturbance observer-based method, the root mean square error is reduced by 39.11% at the maximum on different-friction and uneven road. | |||
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Keywords: Kalman filter, Steering feedback torque estimation, Steer-by-wire system Zhang, L., Meng, Q., Chen, H. et al.: Kalman Filter-Based fusion estimation method of steering feedback torque for steer-by-wire systems. Automot. Innov. 4(4), 430–439 (2021) |
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| Papers published on Automotive Innovation in 2021 | |||
Automotive Innovation (AUIN), an international journal always exploring innovation, has made great progress in 2021. Due to the efforts of the authors, reviewers, the Editorial Board and editorial office, AUIN was indexed in ESCI and Ei Compendex, providing increasing leadership. Maintaining high quality of original papers is our priority, we are proud to say that AUIN has developed both in submission quantity and quality. The information of the AUIN 2021 publication is listed below. For more information, please click here. |
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| Prof. Jun Li: Regard the safety of ICVs as priority and accelerate the construction of certification system for test and evaluation | |||
 At the 2021 ICV Test & Pilot Symposium, Prof. Jun Li delivered a speech, he is the Academician of China Engineering Academy, President of China SAE, Professor of Tsinghua University and Director of the National ICV Innovation Centers. Below lists part of the speech perspectives. Safety is the life of intelligent and connected vehicles (ICVs). We must firmly establish the “Safety First” concept for ICVs”, which is the fundamental mission and responsibility of all ICV developers and OEMs. In order to realize the "Safety First” concept for ICVs, we need to first identify the challenges faced. For this reason, I would like to discuss with you the five major challenges faced in the establishment of the certification system for testing and evaluating ICVs. 1. The Long Tail Effect of reliable testing of artificial intelligence. 2. Infinite number of possible autonomous driving scenarios. 3. Uncertainty brought by SOTIF issues. 4. Applicability of certification for ICV testing. It is internationally acknowledged that the single-vehicle autonomous driving is not feasible, and the EU proposes a networked and cooperative autonomous driving based on ISAD and CCAD. 5. Wide-applied certification for testing ICVs. Please click here to find out more. |
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| Call for Papers: Feature Topic on Cyber-Attack Detection and Resilient Control of ICVs | |||
 Guest Editors: · Prof. Hui Zhang, Beihang University, huizhang285@gmail.com · Prof. Manjiang Hu, Hunan University, manjiang_h@hnu.edu.cn · Dr. Anh-Tu Nguyen, Université Polytechnique Hauts-de-France, nguyen.trananhtu@gmail.com · Prof. Yunpeng Wang, Beihang University, ypwang@buaa.edu.cn · Prof. Yang Shi, University of Victoria, yshi@uvic.ca Topics: · New security mechanisms of V2X · Modeling of cyber attacks · Model-based and data-based efficient attack detection methods · Attack resilient control approaches · Attack mitigation algorithms Submission deadline: June 1, 2021 Submit at: www.springer.com/42154 To download call for paper, please click here . |
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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 19,000. 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, President (2018-2020) of FISITA, President of Tsinghua Automotive Strategy Research Institute 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.zhetao8.com www.springer.com/42154 Contacts: Ms. Lily Lu Tel: +86-10-50950101 Email: jai@sae-china.org |
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