"基于advisor的电动汽车仿真研究与参数匹配"

Based on the document "Electric Vehicle Simulation Based on Advisor.docx", this paper focuses on the parameter matching and simulation of pure electric vehicles. The process begins by applying the theory of vehicle dynamics to match parameters that meet the performance requirements. Once the basic parameters are obtained, the study proceeds to model research using the simulation software Advisor. The underlying model of Advisor includes modules such as the operating condition input module, vehicle body module, main reducer module, motor module, and battery module. A detailed analysis of each module's function is provided in this paper. Afterwards, the paper modifies the "m" file of the Advisor software based on the matched parameters. With this modification, the simulation of the vehicle's dynamics is conducted. The results of the dynamic simulation indicate that the vehicle's performance meets the design criteria. In addition, this paper also simulates the vehicle's range based on its power consumption. Through this simulation test, it is found that the range of the vehicle is higher under constant speed conditions compared to urban driving conditions. This result is reasonable, and the vehicle's range is demonstrated to be sufficient for daily driving needs. In summary, this paper successfully matches the parameters for a pure electric vehicle and conducts simulations using the Advisor software. The simulation results demonstrate that the vehicle's performance meets the required standards, and its range is sufficient for everyday use. This research contributes to the understanding and development of electric vehicles, providing valuable insights for the design and optimization of their parameters and performance. Keywords: electric vehicle, parameter matching, dynamics, Advisor, simulation model, range.