Abstract
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.
Highlights
Mass-produced electric vehicles (EVs) are mainly battery electric vehicles (BEVs) and hybrid electric vehicles (HEVs)
Aiming at the problems of large computational complexity and poor reliability, a parameter matching optimization method of the powertrain system of HEVs based on multi-objective optimization (MOO) is proposed
The target value of fuel consumption can be customized according to the actual situation of the vehicle designed by the user, and the target value of emission generally needs to be based on the national standard of the vehicle exhaust emission
Summary
Mass-produced electric vehicles (EVs) are mainly battery electric vehicles (BEVs) and hybrid electric vehicles (HEVs). The parameter matching between the power components (including the engine, drive motor, and power battery, etc.) and the transmission system directly affects the overall performance of the vehicle’s power, fuel consumption and emissions [5,7,8,9,10]. The ideal parameter matching optimization is to solve the optimal solution satisfying multiple targets by the optimization algorithm under certain constraints [12,13], that is, according to the vehicle basic parameters and performance indicators, the system parameters of the engine, motor, and power battery are determined, and the fuel consumption and emissions are optimized simultaneously through theoretical analysis and calculation, while ensuring the vehicle’s power performance. Aiming at the problems of large computational complexity and poor reliability, a parameter matching optimization method of the powertrain system of HEVs based on multi-objective optimization (MOO) is proposed.
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