Multi-objective Optimization Method with Multi Control Variables and Its Application in Configuration Comparison of Combination HEV

Combination hybrid electric vehicle (HEV) mainly includes two configurations: series-parallel and power-split. It is necessary to consider a variety of metrics to comprehensively evaluate the configuration performance of HEV and compare the two configurations. In order to fully evaluate the HEVs’ po...

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Bibliographic Details
Published in:International journal of automotive technology 2023, 24(6), 136, pp.1493-1507
Main Authors: Xie, Junping, Liang, Zhihao, Zhao, Kegang, Mai, Maoyu
Format: Article
Language:English
Subjects:
Automobile industry
Automotive Engineering
Configuration management
Dynamic programming
Energy consumption
Energy management
Engineering
Hybrid electric vehicles
Hybrid systems
Multiple objective analysis
Optimization
Pareto optimization
Performance evaluation
Power consumption
Sorting algorithms
자동차공학
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Summary:Combination hybrid electric vehicle (HEV) mainly includes two configurations: series-parallel and power-split. It is necessary to consider a variety of metrics to comprehensively evaluate the configuration performance of HEV and compare the two configurations. In order to fully evaluate the HEVs’ potential in energy management, a practical and effective multi-objective method that can solve the global optimization-based energy management problem is needed. Based on the idea of dynamic programming (DP) and non-dominated sorting method, this paper proposes a global multi-objective optimization method of non-dominated sorting dynamic programming (NSDP) with multi-control variables. This algorithm can calculate a set of uniformly distributed Pareto solutions for the conflicting or coupling optimization objectives, and the performance of the solution set is improved due to the increase in the dimension of the control variables, which increases the strategy search space. NSDP is applied to two different configurations to fully evaluate the performance of fuel consumption and battery lifespan. The parameters of the configurations are optimized and comprehensively compared based on the implementation of NSDP. The above process can provide theoretical analysis for hybrid power system developers.
ISSN:1229-9138
1976-3832
DOI:10.1007/s12239-023-0120-8