Multi-objective Trade-off Optimization Control of Hybrid System Based on Pareto
To balance the optimization of both economic efficiency and smoothness in performance metrics,a multi-objective trade-off optimization control strategy for hybrid systems based on the Pareto principle is proposed.This strategy first introduces the torque coefficient of the drive motor as the control variable.Subsequently,the State of Charge(SOC)is considered as the state variable,and the overall vehicle's equivalent fuel consumption and jerk degree are taken as the objective functions.By employing a multi-objective trade-off optimization strategy based on the Pareto principle,the control variables are optimized.A complete vehicle model is constructed on the Matlab/Simulink platform and simulated under combined NEDC and HWFET operating conditions.The results demonstrate that the equivalent fuel consumption by trade-off optimization is 1.438 liters,while the equivalent fuel consumption by single-objective optimiza-tion for smoothness is 1.562 liters,reflecting a reduction of 7.9％.The maximum jerk degree without trade-off optimization is 19.65,whereas by trade-off optimization,it is reduced to 11.03,indicating a 43.8％decrease.Simulation results indicate that both the economic efficiency and smoothness are enhanced by the trade-off optimization.Therefore,the effectiveness of the Pareto-based multi-objective trade-off optimization strategy for hybrid systems is validated.
万方数据
维普
