Adaptive parameter optimal energy management strategy based on multi-objective optimization for range extended electric vehicle

With the aim of economy improvement, emission reduction and prolonging the battery service life, an adaptive parameter optimal energy management strategy is proposed for range extended electric vehicle and a method of multi-objective optimization (MOO) is proposed. Firstly, two strategies based on d...

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Bibliographic Details
Published in:Proceedings of the Institution of Mechanical Engineers. Part D, Journal of automobile engineering Journal of automobile engineering, 2022-07, Vol.236 (8), p.1809-1823
Main Authors: Liu, Hanwu, Lei, Yulong, Fu, Yao, Li, Xingzhong
Format: Article
Language:English
Subjects:
Electric vehicles
Emission analysis
Emissions control
Energy management
Exhaust emission
Fuel economy
Multiple objective analysis
Optimization
Parameters
Particle swarm optimization
Performance evaluation
Service life
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Summary:With the aim of economy improvement, emission reduction and prolonging the battery service life, an adaptive parameter optimal energy management strategy is proposed for range extended electric vehicle and a method of multi-objective optimization (MOO) is proposed. Firstly, two strategies based on different threshold parameter types, namely velocity-switch-based multi-operation-point control strategy (MCS v–b ) and power-switch-based multi-operation-point control strategy (MCS p–b ) are designed. Then, the oil-electric conversion loss rate, comprehensive exhaust emission, and battery capacity loss rate are selected as the optimization objectives. The barebones multi-objective particle swarm optimization is applied in MCS v–b and MCS p–b for solving the MOO problem. The simulation results show a clear conflict that three optimization objectives cannot be optimal under the same solution. And then, the individual with optimal comprehensive objective is taken as the final optimization solution to evaluate the performance of the proposed methodology. As expected, the proposed MCS p–b has a positive effect on prolonging the battery service life while ensuring high fuel economy and low emission. Experimental test results thoroughly validate the proposed approach and this result can be used to improve comprehensive performance levels.
ISSN:0954-4070
2041-2991
DOI:10.1177/09544070211046406