Research On Regenerative Braking Control Strategy For Pure Electric Bus

Nowadays, the energy and environmental crisis are more and more serious, pure electric vehicles is a good solution, braking energy recovery system extends the driving range of pure electric vehicles and reduces the use frequency of mechanical braking system is one of the electric vehicle’s important techniques. For the system of city bus, because the frequent start -stop braking has high energy consumption, braking energy becomes very significant. In order to improve the recovery performance,meanwhile taking the drivers’ comfort into consideration. This paper does some researches on braking control strategy based on a pure electric bus, the concrete researching methods and contents as follows:First, analyzing and summarizing the international and domestic research results of braking energy recovery.After analyzing we can see the strategies relative to the design of the bus system are very few,without a good use of the character of the fixed bus stations.Second,in order that the regenerative braking integrally matches the mechanical braking better, we need to do forward design of the original vehicle’s mechanical braking system and verify its validity to ensure the stability of the whole braking system.Third, according to base of the mechanical braking.going on further research of the regenerative braking control strategy. Contrasting the various control strategies combining with the needs of design and practical situation to choose parallel braking as the basic form of regenerative braking. Through analyzing the restrictions of regenerative braking to design a energy recovery strategy in normal braking situation. Based on this way to design a predictive recovery braking control strategy aimed at the braking within the range of the bus stations, making the vehicles to use non-predictive braking control strategy in normal braking and use predictive braking control strategy when it comes into the station.Finally, using the forward simulation software AVL/CRUISE to finish modeling the vehicle and using MATLAB/Simulink to finish the mathematical model of the control strategy. Realizing the combined programming of the two softwares. Comparing with the real vehicle data to verify the model’s confidence. Building relevant simulation tasks and according to Chinese typical cycle of city buses to simulate. By comparing the results of the predictive braking control strategy, the non-predictive braking control strategy and the strategy without regenerative braking, indicate that the predictive braking control strategy highly improve the recovery and the driving range. Meanwhile satisfying the basic needs of the driver’s comfort. Discussing the relationship between the two control variables of the predictive braking control strategy with the recovery effect. Verifying the superiority of the designed predictive braking control strategy and having a certain guiding significance to production and design.