| Range-Extended electric vehicle is a electric vehicle that can increase driving range.It has the characteristics of hybrid electric vehicles and electric vehicles.It is a feasible solution to solve the technical problems faced by electric vehicles at the present stage,and it is of great significance to the development and promotion of new energy vehicles in China.The modeling and control strategy of Auxiliary Power Unit(APU)in a range-extended electric vehicle are studied.According to vehicle parameters and performance requirements,the key components of range-extended electric vehicles power system are matched and selected.Based on the results of the selection and the experimental data,a vehicle backward simulation model is built using Simulink software.According to the driving power demand of the motor and the battery state of charge(SOC),energy management strategies are studied.A rule-based control strategy and a fuzzy logic control strategy are designed respectively.Two kinds of APU control strategies,the optimal fuel consumption control strategy and the APU optimal efficiency control strategy,are designed.Control strategies models are built in Simulink.The rationality,dynamic performance and economic performance of the auxiliary power system are analyzed through simulation results.APU speed control methods are studied.The PID and feedforward PID models of engine speed is built in Simulink.The particle swarm optimization algorithm is used to optimize the PID parameters so that the engine speed could respond quickly.In order to compare and verify the control effects of APU speed control methods,an APU test bench is set up,and the response of the engine is observed through the adjustmentK_p、K_i、K_d value.Using the host computer Lab VIEW software,the optimal fuel consumption APU control strategy is programmed and implemented,and the effect of the designed optimal fuel consumption control strategy is verified through experiments. |
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