Research on Remaining Driving Range Estimation of Electric Vehicle Based on Dynamic Working Condition

Aimed at estimating the remaining driving range of electric vehicle (EV) on dynamic working condition and exploring the influences on remaining driving range estimation, combined GT-Drive and Matlab, EV simulation model and remaining driving range estimation model have established. Based on UDDS, compared simulation results with estimation results of remaining driving range, the influences on remaining driving range estimation have been discovered, then a optimization scheme is put forward. With the method of corrected parameter, the error of initial estimation value is reduced; when braking energy recovery module is added, EV simulation model is optimized. The results of test indicates that the optimized model has realized to accurately estimate the remaining driving range, meets the requirements of the expected estimation accuracy.