Vehicle Optimal Control Design to Meet the 1.5 °C Target: A Control Design Framework for Vehicle Subsystems

Xu Hu, Yisong Chen, Zhensen Ding and Liang Gu
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Xu Hu: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Yisong Chen: School of Automobile, Chang’an University, Xi’an 710064, China
Zhensen Ding: Automotive Engineering Institute, Guangzhou Automobile Group Co., Ltd., Guangzhou 511434, China
Liang Gu: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

Energies, 2019, vol. 12, issue 16, 1-21

Abstract: Current studies have achieved energy savings of vehicle subsystems through various control strategies, but these control strategies lack a benchmark to measure whether these energy savings are sufficient. This work proposes a control design framework that uses the 1.5 °C target in the Paris Agreement as a benchmark to measure the adequacy of energy savings of vehicle subsystems. This control design framework involves two points. One is the conversion of the 1.5 °C target into a constraint on the energy consumption of a vehicle subsystem. The other is the optimal control design of the vehicle subsystem under this constraint. To describe the specific application of this control design framework, we conduct a case study concerning the control design of active suspension in a battery electric light-duty vehicle. By comparison with a widely used linear quadratic regulator (LQR) method, we find that this control design framework can both ensure the performance comparable to the LQR method and help to meet the 1.5 °C target in the Paris Climate Agreement. In addition, a sensitivity analysis shows that the control effect is hardly changed by battery electric vehicle market share and electricity CO 2 intensity. This work might provide insight on ways that the automotive industry could contribute to the Paris Agreement.

Keywords: 1.5 °C target in the Paris Agreement; battery electric vehicles; energy saving control; active suspension control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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