Research On Regenerative Braking System Modeling And Control For Fuel Cell Electric Vehicle

Since the fossil energy is exhausting and the environment problem is more serious, at the same time the demand of the car is increasing, the car industry of every country has developed energy-saving and environmental protection electric car. The fuel cell electric vehicles (FCEV) is an important direction of development of electric vehicles, one important difference with the traditional fuel vehicles is motor regenerative braking, how to achieve a reasonable distribution between electrical and mechanical braking force and effective management of braking energy recovery is very important for improving energy efficiency, and increase the driving range. In this paper, the author accomplished the research on the fuel cell electric vehicle regenerative braking system modeling and control, which takes FCEV as a research object. Main contents are as the following:On the base of analyzing the composition and structure of the mixed electric cars'braking system, proposed series connection of mechanical brake and motor brake, super capacitor joint Li cell to store the braking energy. Based on this to introduce the working principle of the braking system and the constraint condition and influencing factor of store the braking energy, gave the performance index to evaluate the braking system.According to the regenerative braking energy feedback principle, established a FCEV regenerative braking energy feedback block diagram, used Matlab/Simulink to model the main components of the regenerative braking system, such as regenerative braking controller, motor, iron phosphate lithium battery and supper capacitor modeling, and conducted a series of simulation analysis.Under the control objectives of the FCEV braking system, analyzed of the braking energy flows in the braking mode, proposed the braking force distribution strategy based on the ECE rules and brake energy recovery management strategy based on fuzzy PID control, and simulation analysis. The results show that the proposed control strategy compared to traditional control strategies to better braking effect and improve the energy recovery efficiency.