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Real-time optimization of energy consumption under adaptive cruise control for connected HEVs

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Abstract

This paper presents a real-time energy optimization algorithm for a hybrid electric vehicle (HEV) that operates with adaptive cruise control (ACC). Real-time energy optimization is an essential issue such that the HEV powertrain system is as efficient as possible. With connected vehicle technique, ACC system shows considerable potential of high energy efficiency. Combining a classical ACC algorithm, a two-level cooperative control scheme is constructed to realize real-time power distribution for the host HEV that operates in a vehicle platoon. The proposed control strategy actually provides a solution for an optimal control problem with multi objectives in terms of string stable of vehicle platoon and energy consumption minimization of the individual following vehicle. The string stability and the real-time optimization performance of the cooperative control system are confirmed by simulations with respect to several operating scenarios.

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Acknowledgements

The authors would like to thank Dr. Junichi Kako of Toyota Motor Corporation for providing the HEV powertrain system data that was used in the control design and simulation tests and valuable discussions on this work.

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Authors and Affiliations

  1. College of Mechanical and Electronic Engineering, Dalian Minzu University, Dalian Liaoning, 116600, China

    Jiangyan Zhang

  2. Department of Engineering and Applied Sciences, Sophia University, Tokyo, 102-8554, Japan

    Fuguo Xu

Authors
  1. Jiangyan Zhang
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  2. Fuguo Xu
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Corresponding author

Correspondence to Jiangyan Zhang.

Additional information

This work was supported by the National Natural Science Foundation (NNSF) of China (No. 61973053).

Jiangyan ZHANG received the B.E. and M.E. degrees in Electrical Engineering from Yanshan University, Qinhuangdao, China, in 2005 and 2008, respectively, and the Ph.D. degree in Mechanical Engineering from Sophia University, Tokyo, Japan, in 2011. She is currently an Associate professor with the College of Mechanical and Electronic Engineering of Dalian Minzu University at Dalian, China. Her research interests are mainly in control theory and applications of control to the automotive powertrain systems.

Fuguo XU received the M.E. degree in Control Engineering from Yanshan University, Qinhuangdao, China, in 2016, and the Ph.D. degree in Mechanical Engineering from Sophia University, Tokyo, Japan, in 2019. Since April 2019, he has been a postdoctoral fellow with the Department of Engineering and Applied Sciences, Sophia University. His research interests include optimal control and applications in powertrain system of hybrid electric vehicles.

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Zhang, J., Xu, F. Real-time optimization of energy consumption under adaptive cruise control for connected HEVs. Control Theory Technol. 18, 182–192 (2020). https://doi.org/10.1007/s11768-020-0020-7

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  • DOI: https://doi.org/10.1007/s11768-020-0020-7

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