Research On Regenerative Braking Control Strategy Of PMSM Of Electric Vehicle

The popularity of cars brought convenience to people’s travel, but problems also arise with it is non-renewable energy sources dried up, and automobile exhaust seriously polluted the environment, which is one of the main pollution sources of “haze”. As people pay more and more attention to protect environment and keep healthy, advocate green travel, insist on the harmony between human and nature. In addition, the government’s “12th five-year plan” for energy conservation and emissions reduction, low carbon life. the characteristics of traditional fuel vehicle is high energy consumption and big pollution, whereas, battery electric vehicle has some advantages of almost zero pollution, low noise, simple structure, convenient maintenance and energy conversion efficiency, which make people focus on the electric car research again. But limited by battery energy storage capacity, the mileage of BEV is short, and it is not suitable for a long-distance travel. In recent years, the research of braking energy recovery control can recycle the energy produced in the braking process, and effectively improve the travel distance of battery electric vehicles.Motor performance related to the quality of regeneration effect. Currently, many articles directly discussed pure electric vehicle braking energy feedback control while ignoring the analysis of motor performance. Therefore, by comparison with the performance of the common vehicle motor, determined the permanent magnet synchronous motor(PMSM) as drive motor. Designed hardware system with TMS320LF2407 A and software system, used the flux tracking technology combined with vector control. And test the efficiency performance of permanent magnet synchronous motor in the dual-motor dragging test bench. Experimental data show that the permanent magnet synchronous motors with high efficiency performance, suitable as a pure electric vehicle drive motor.Aim at braking stability problems in the energy recovery process, proposed an energy feedback control based on fuzzy control strategy.The battery SOC and braking intensity is the input value of fuzzy controller, by selecting the membership function of the braking intensity make braking smoothly, expert experiment experience as the fuzzy control rules, reasonably distributed the front wheel regenerative braking force ratio and the front wheel friction ratio, thus, get the required front wheel and rear wheel braking force. Then, the regenerative braking force converts into the current command, and compared with feedback current. Based on the current error to control the regenerative braking process of IGBT switch to achieve the objective of the motor braking energy feedback, improve the electric car braking performance, extend the travel distance of a single charge.Using the ADVISOR simulation platform build electric vehicle model, and through modifying M files, making the ADVISOR application interface associated with the modified vehicle model. Selected relatively conforms to our country highway traffic CYC_ECE_EUDC as driving cycles, and simulated under the ADVISOR control strategy and the paper’s fuzzy control strategy. The simulation results show that, in the regenerative braking process, the larger braking torque of the motor, the greater the braking energy feedback, the bigger battery SOC value, and the fuzzy control strategy can recovery more energy to extend the travel distance of electric vehicles.