Research Of Control Strategy And Simulation Of Pure Electric Vehicle's Regenerative Braking

With the prompt development of present economy, the pressure of energy and environmental protection is becoming larger. Automobile plays an important role in development of national economy, without the help of automotive, we can not imagine how economy will be. At present, cars which run on the road are traditional oil cars mostly, with oil becoming less and less,and hothouse effect more obvious, new energy cars which are economic and environmentally protective are being developed. Now, we have developed many hybrid vehicles, compared to traditional cars, their economy is better, but, they also rely on oil. Pure EV just consumes electricity, also, there are many resources of obtaining electricity, such as water power, wind power, nuclear energy, solar energy and so on. Along with development of EV technology, people believe that EVs will be popular in twenty or thirty years.With the exception of energy-saving and environmental protective, EV also has many shortcomings, such as short of cruising range, high price of battery, weakness of dynamic property and so on. In order to increase cruising range, we do some research on control strategy of regenerative braking and simulation.The strategy is about how to distribute electric motor regenerative braking force and traditional friction braking force, we not only ensure braking efficiency but also drive's braking feeling. Now there exist three control strategies:ideal braking, best braking energy recovery, parallel braking energy recovery. Considering present technology and cost, we choose parallel braking energy recovery strategy.The article introduces basic structure of regenerative braking system, principle and wok process of asynchronous machine, and influence factor of regenerative braking.The modeling and simulation is based on the vehicle whose dynamic system has been matched, including:entire car, driving condition, driver, main controller electric motor, battery, transmission, driving axle and vehicle models, every model has several parameters to be set, we can define values to approach real vehicle, by this way, we can raise accuracy of simulation.At last, we conduct real vehicle's test of cruising range, validating regenerative braking effect of the vehicle under the chosen strategy, the result can be compared to result of simulation.The rate of energy recovery of test, evaluation of integrals and simulation are 17.9ï¼…,24.3ï¼…and 25.4ï¼….