Electrical Differential System For Electric Vehicle

Confronted with limited oil natural resources and the growing problem of environmental pollution, vehicle has to develop a new replaceable technology to solve all the problems. As one of the solutions, Electric Vehicle has attracted broad attention because of its advantages of wide energy income, high efficiency, low noise, superior zero-emission environmental performance and so on. Many countries have put in big effort in the development of Electric Vehicles, so is our country. But there are some shortcomings for pure electric cars, such as low battery capacity and short driven mileage. The development of electric vehicle with solar cells as a supplemental energy source can be regarded as a reasonable way.A drive system was designed for electrical vehicle in this thesis. According to the requirement of vehicle performance, BLDCM was selected as the vehicle driven actuator. The BLDCMs were installed in wheel in order to build the 4-wheel driven system. Regarding to driven system designed, electrical differential system and motor control system were constructed.Using ADAMS software, the whole vehicle model was built to obtain discrete dates of the wheels'rotating speeds under the testing road conditions. Based on BP neural network, these dates obtained were fitted to make up neural networks. The slip ratio detection is regarded as assistance control block. Compared with general differential system using rotating speed controlling, the new differential system can avoid the problem effectively that Ackerman steering mathematical model always idealize the differential outputs. The BLDCM control takes wheel rotating speed and current as feedback and the parameters of the control system has been settled.Simulation results showed that the electrical differential system works well according to the inputs.