Research on the Control of Booster Charging System for New Energy Vehicles Based on Model Predictive Control
The three-phase interlaced parallel Boost converter in the multiplexed boost charging system of new energy vehicles is taken as the research object,and the model predictive control algorithm is introduced to analyze the problems of slow dynamic response speed and poor steady-state characteristics of the system during operation.Taking the single-phase Boost circuit as an example,the system state space equation is established,and the prediction current model is established through discretization processing.According to the operating constraints and performance indicators of the converter control system,the appropriate objective value function is determined,and the optimal duty cycle expression that minimizes the value of the objective function is calculated.Finally,the simulation model of the converter is constructed by using MATLAB/Simulink,the feasibility of the proposed control strategy is verified,and the problems of slow output voltage response,voltage overshoot and poor anti-interference performance of the converter are compared with the PI double closed-loop control strategy.The simulation results show that compared with the traditional PI control system,the voltage regulation time of the model predicted control system is increased by 62.3%without obvious overshoot,and when the input voltage and load are disturbed,the voltage deviation value is reduced by 56.3%and 85.8%,respectively,and the steady-state time is increased by 37.3%and 51.3%,respectively.It can be seen that the model prediction controller designed by the institute can meet the application requirements of the step-up charging system,and has better dynamic response,steady-state characteristics and robust performance.
new energy vehiclesstaggered parallel connectionBoost converterPI double closed-loop controlmodel predictive control
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维普
