The Combination of Two Control Strategies for Series Hybrid Electric Vehicles

Can Luo; Zhen Shen; Simos Evangelou; Gang Xiong; Fei-Yue Wang

doi:10.1109/JAS.2019.1911420

Volume 6 Issue 2

Mar. 2019

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 15.3, Top 1 (SCI Q1)

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2019 > 6(2): 596-608

Can Luo, Zhen Shen, Simos Evangelou, Gang Xiong and Fei-Yue Wang, "The Combination of Two Control Strategies for Series Hybrid Electric Vehicles," IEEE/CAA J. Autom. Sinica, vol. 6, no. 2, pp. 596-608, Mar. 2019. doi: 10.1109/JAS.2019.1911420

Citation:

Can Luo, Zhen Shen, Simos Evangelou, Gang Xiong and Fei-Yue Wang, "The Combination of Two Control Strategies for Series Hybrid Electric Vehicles," IEEE/CAA J. Autom. Sinica, vol. 6, no. 2, pp. 596-608, Mar. 2019. doi: 10.1109/JAS.2019.1911420

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The Combination of Two Control Strategies for Series Hybrid Electric Vehicles

doi: 10.1109/JAS.2019.1911420

Can Luo^{1
,
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Zhen Shen^2
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Simos Evangelou^3
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Gang Xiong^4
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Fei-Yue Wang^5
,

1.
State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
2.
State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190 and also with Cloud Computing Center, Chinese Academy of Sciences, Dongguan 523808, China
3.
Department of Electrical and Electronic Engineering, Imperial College London London, SW7 2AZ, UK
4.
State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, and also with Cloud Computing Center, Chinese Academy of Sciences, Dongguan 523808, China
5.
Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, and also with Qingdao Academy of Intelligent Industries Qingdao 266109, China

Funds: This work was supported in part by the National Natural Science Foundation of China (61773382, 61773381, 61533019), Chinese Guangdongs S & T projects (2016B090910001, 2017B090912001), 2016 S & T Benefiting Special Project (16-6-2-62-nsh) of Qingdao Achievements Transformation Program; Dongguan Innovation Talents Project (Gang Xiong)

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Author Bio:
Can Luo received her B.Eng. degree from University of Science & Technology Beijing, Beijing, China, in 2016, and M.Sc. degree from Imperial College London, London, UK, in 2017. In 2018, she started working as a Assistant Engineer with the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Science (CAS). Her research interests include 3D printing, intelligent manufacturing, and intelligent transportation systems.(e-mail: can.luo@ia.ac.cn)

Zhen Shen received the B.S.E. and Ph.D. degrees from Tsinghua University, Beijing, China, in 2004 and 2009, respectively. He was a Visiting Scholar at the Department of Manufacturing Engineering and Center for Information and Systems Engineering, Boston University, USA, from Oct. 2007 to Apr. 2008. In 2009, he started doing research work as a Assistant Professor with the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, CAS. In 2012, he becomes an Associate Professor with the State Key Laboratory for management and control of complex systems, China. His research interests include intelligent manufacturing, 3D Printing, performance evaluation and optimization of complex systems, ordinal optimization. (e-mail: zhen.shen@ia.ac.cn)

Simos Evangelou (M'05-SM'17) has expert knowledge and experience in the application of control engineering to solve real-world problems associated with complex dynamical systems. He did the Electrical and Information Sciences Tripos at the University of Cambridge and obtained a BA/MEng degree, followed by a Ph.D. degree in Control Engineering at Imperial College London. His experience includes engagement with a number of large automotive and aerospace companies to enable product development and realisation of competitive advantage for these industries. Dr. Evangelou has already filed a number of patents and overall he has an enterprising mindset towards the exploitation of acquired research knowledge to benefit his employer, the society and the economy. (e-mail:s.evangelou@imperial.ac.uk)

Gang Xiong (M'00-SM'02) received the B.Eng. and M.Eng. degree from Xi'an University of Science and Technology, Xi'an, China, in 1991 and 1994, respectively, and Ph.D. degree from Shanghai Jiao Tong University, Shanghai, China, in 1996. From 1996 to 1998, he was a Postdoctor and Associate Scientist with Zhejiang University, Hangzhou, China. From 1998 to 2001, he was a Senior Research Fellow with Tampere University of Technology, Tampere, Finland. From 2001 to 2007, he was a Specialist and Project Manager with Nokia Corporation, Finland. In 2007, he was a Senior Consultant and Team Leader with Accenture and Chevron, USA. In 2008, he was the Deputy Director of the Informatization Office, CAS, Beijing, China. In 2009, he started his present position as a Research Scientist with the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, CAS. In 2011, he became Deputy Director of Cloud Computing Center, CAS. His research interests include parallel control and management, modeling and optimization of complex systems, cloud computing and big data, intelligent manufacturing, and intelligent transportation systems. (e-mail: gang.xiong@ia.ac.cn)

Dr. Wang's current research focuses on methods and applications for parallel systems, social computing, parallel intelligence and knowledge automation. He was the Founding Editor-in-Chief of the International Journal of Intelligent Control and Systems (1995-2000), Founding EiC of IEEE ITS Magazine (2006-2007), EiC of IEEE Intelligent Systems (2009-2012), and EiC of IEEE Transactions on ITS (2009-2016). Currently he is EiC of IEEE Transactions on Computational Social Systems, Founding EiC of IEEE/CAA Journal of Automatica Sinica, and Chinese Journal of Command and Control. Since 1997, he has served as General or Program Chair of more than 20 IEEE, INFORMS, ACM, and ASME conferences. He was the President of IEEE ITS Society (2005-2007), Chinese Association for Science and Technology (CAST, USA) in 2005, the American Zhu Kezhen Education Foundation (2007-2008), the Vice President of the ACM China Council (2010-2011), and the Vice President and Secretary General of Chinese Association of Automation (CAA, 2008-2018). Since 2019, he has been the President of CAA Supervision Council. Dr. Wang has been elected as Fellow of IEEE, INCOSE, IFAC, ASME, and AAAS. In 2007, he received the National Prize in Natural Sciences of China and was awarded the Outstanding Scientist by ACM for his research contributions in intelligent control and social computing. He received IEEE ITS Outstanding Application and Research Awards in 2009, 2011 and 2015, and IEEE SMC Norbert Wiener Award in 2014.(e-mail: feiyue.wang@ia.ac.cn)
Corresponding author: Can Luo, e-mail: can.luo@ia.ac.cn
Received Date: 2018-08-17
Accepted Date: 2018-09-25

Abstract

Abstract

With most countries paying attention to the environment protection, hybrid electric vehicles have become a focus of automobile research and development due to the characteristics of energy saving and low emission. Power follower control strategy (PFCS) and DC-link voltage control strategy are two sorts of control strategies for series hybrid electric vehicles (HEVs). Combining those two control strategies is a new idea for control strategy of series hybrid electric vehicles. By tuning essential parameters which are the defined constants under DC-link voltage control and under PFCS, the points of minimum mass of equivalent fuel consumption (EFC) corresponding to a series of variables are marked for worldwide harmonized light vehicles test procedure (WLTP). The fuel economy of series HEVs with the combination control schemes performs better compared with individual control scheme. The results show the effects of the combination control schemes for series HEVs driving in an urban environment.
- DC-Link voltage control,
- power follower control strategy,
- series hybrid electric vehicles,
- tuning

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The Combination of Two Control Strategies for Series Hybrid Electric Vehicles

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