Study Of Active Wheel EV In Estimation Of Handling Stability Parameter And Test

As the world's economy develops rapidly, environmental and energy issues stand out, attracting more and more national attention. Target concerning resource and environment was very high and challenging in the "Twelve Five-Year" plan outline of our country. Specific to the automotive industry, it is to encourage the development of cars with low-emission and energy-saving. Thus, because of its typical clean and energy efficiency characteristics, electric vehicles become the object to develop as a matter of course. Although researches on electric vehicles have never been interrupted since the birth of vehicle in developed countries, and our country also has increased capital investment yearly in electric vehicles research for a long time, in the meantime, a number of enterprises and scientific research units have made many achievements, however, in the core technologies determining the development of electric vehicles such as performance of batteries and motors, control strategies e.g., there are still a lot of obstacles, which restrict the development of electric vehicles in industrialization and enlargement.Firstly, the actuality and trends of active wheel electric vehicles home and abroad, the related technical problems need to overcome, and advantages compared with traditional vehicles are reviewed. Then, in the use of SIMULINK module of TATLAB software, active wheel electric vehicle simulation model with 7 degrees of freedom was built under the comparative analysis on today's electric vehicle dynamics simulation model.Taking the features of active wheel EV into account, an extended Kalman filter which is based on two degrees of freedom vehicle dynamics model minimum mean square estimate and a estimation algorithm which is based on Magic tire model and vehicle kinematics model are desired in the purpose of estimation of state parameter, which affects vehicle handling and stability. To authenticate the effectiveness and accuracy of the both algorithm, simulation analysis under the two typical conditions were done.Finally, with the assistance of virtual instrument software labview and series of sensors to measure speed, acceleration and yaw rate, sideslip angle test platform was built to validate the two estimation algorithms. Drawn from the results, algorithm based on Magic tire model and vehicle kinematics model is more effective and more suitable for active wheel EV use, its estimated data is closer to the actual value. This paper offers an important reference for the next new wheel electric vehicle research and development.