The Second Development And Research Of ADVISOR For Simulation Of Rear Drive EV With Synergic Electric Power System

As an effective solution to the problems of energy crisis and environmental pollution, EV has the characteristics of multi-discipline and rapid development. So, using computer simulation technology in the early development of EV can not only improve the prospective ability of design, shorten the development cycle, lower research and development costs, but also can overall improve the optimization level of EV system. ADVISOR simulation software with the most global users can quick analysis EV power performance, economy and emission performance, et al., and the operation precision is high, the simulation results are accurate. But, there are some limitations in the application of ADVISOR. Therefore, the subject mainly researched the second development of ADVISOR.Firstly, according to the shortage of ADVISOR that it can't be applied to the simulation of rear drive vehicle, through the detailed analysis of the vehicle module and the wheel/axle module, this paper realized the establishment of rear drive vehicle simulation model on the basis of the rear drive vehicle dynamics model. Next, on the basis of the analysis of regenerative braking and traditional automobile brake force distribution, this paper established EV brake force distribution model and motor regenerative braking force mathematical model. Considering ADVISOR built-in regenerative braking control strategy is too simple, this paper proposed the regenerative braking control strategy based on ECE brake rules which can ensure the brake stability and recycle braking energy as more as possible. Then, this paper established the model of this regenerative braking control strategy in ADVISOR and did simulation analysis in UDDS, ECE and NYCC driving cycles, and compared simulation results to ADVISOR regenerative braking control strategy. The results show that this paper's regenerative braking control strategy can bring motor's regenerative braking ability into play efficiently and performs better over ADVISOR regenerative braking control strategy in recycling braking energy. In the end, this paper realized the second development of ADVISOR to make it can simulate the performance of rear drive EV with synergic electric power system. On the basis of the establishment of synergic electric power system model, this paper used classical logic threshold control strategy to simulate and analyze, at the same time, compared simulation results to the batteries alone. The results show that the ultra capacitor can obviously clip peak and fill channel for battery, not only protecting battery but also raising the braking energy recovery and improving the power performance and economy of vehicle.This paper performed second development on ADVISOR to make it suitable for simulation of rear drive EV with synergic electric power system, which provides technical support for real car development and performance analysis.