Journal
ELECTRONICS
Volume 8, Issue 8, Pages -Publisher
MDPI
DOI: 10.3390/electronics8080875
Keywords
hybrid electric vehicle; parameter matching optimization; multi-objective optimization; system modeling
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Funding
- Teaching Reform Research Project of the Higher Education Institution of Xinjiang [2017JG118]
- National Natural Science Foundation of China [61304029]
- Foundation of State Key Laboratory of Automotive Simulation and Control [20181119]
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Aiming at problems of large computational complexity and poor reliability, a parameter matching optimization method of a powertrain system of hybrid electric vehicles based on multi-objective optimization is proposed in this paper. First, according to the vehicle basic parameters and performance indicators, the parameter ranges of different components were analyzed and calculated; then, with the weight coefficient method, the multi-objective optimization (MOO) problem of fuel consumption and emissions was transformed into a single-objective optimization problem; finally, the co-simulation of AVL Cruise and Matlab/Simulink was achieved to evaluate the effects of parameter matching through the objective function. The research results show that the proposed parameter matching optimization method for hybrid electric vehicles based on multi-objective optimization can significantly reduce fuel consumption and emissions of a vehicle simultaneously and thus provides an optimized vehicle configuration for energy management strategy research. The method proposed in this paper has a high application value in the optimization design of electric vehicles.
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