Multi-Objective Optimization Considering Battery Degradation for a Multi-Mode Power-Split Electric Vehicle

Xuerui Ma, Yong Zhang, Chengliang Yin and Shifei Yuan
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Xuerui Ma: National Engineering Laboratory for Automotive Electronic Control Technology, Shanghai Jiao Tong University, 800 Dongchuan Rd, Shanghai 200240, China
Yong Zhang: National Engineering Laboratory for Automotive Electronic Control Technology, Shanghai Jiao Tong University, 800 Dongchuan Rd, Shanghai 200240, China
Chengliang Yin: National Engineering Laboratory for Automotive Electronic Control Technology, Shanghai Jiao Tong University, 800 Dongchuan Rd, Shanghai 200240, China
Shifei Yuan: National Engineering Laboratory for Automotive Electronic Control Technology, Shanghai Jiao Tong University, 800 Dongchuan Rd, Shanghai 200240, China

Energies, 2017, vol. 10, issue 7, 1-16

Abstract: A multi-mode power-split (MMPS) hybrid electric vehicle (HEV) has two planetary gearsets and clutches/grounds which results in several operation modes with enhanced electric drive capability and better fuel economy. Basically, the battery storage system is involved in different operation modes to satisfy the power demand and minimize the fuel consumption, whereas the complicated operation modes with frequent charging/discharging will absolutely influence the battery life because of degradation. In this paper, firstly, we introduce the solid electrolyte interface (SEI) film growth model based on the previous study of the battery degradation principles and was verified according to the test data. We consider both the fuel economy and battery degradation as a multi-objective problem for MMPS HEV by normalization with a weighting factor. An instantaneous optimization is implemented based on the equivalent fuel consumption concept. Then the control strategy is implemented on a simulation framework integrating the MMPS powertrain model and the SEI film growth map model over some typical driving cycles, such as New European Driving Cycle (NEDC) and Urban Dynamometer Driving Schedule (UDDS). Finally, the result demonstrates that these two objectives are conflicting and the trade-off reduces the battery degradation with fuel sacrifice. Additionally, the analysis reveals how the mode selection will reflect the battery degradation.

Keywords: multi-objective optimization; power-split hybrid; battery degradation; solid electrolyte interface (SEI) film model (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: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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