基于神经网络的混合电动汽车发动机特性研究

Study on the Engine Performance of the Hybrid Electric Vehicle with the Neural Network Method

利用MATLAB神经网络工具箱建立了发动机特性的拟合和仿真模型,在此基础上得到了发动机的万有特性曲线,并对发动机的万有特性进行了分析,得到了并联混合电动汽车行驶过程中发动机的最优工作范围;研究了并联混合电动汽车驱动系统中发动机与驱动电机之间的功率匹配问题,确定了车辆行驶所需的最大功率与发动机和驱动电机功率之间的关系,据此可选择适合类型的发动机和驱动电机,实现并联混合电动汽车驱动系统的优化设计.

Simulating models of engine performance were established using the neural network toolbox of MATLAT. Based on the results, the universal characteristics of internal combustion engine（ICE） were obtained and analyzed, and the optimal operation area of the engine in the hybrid electric vehicle was also obtained. By studying the power matching of the engine and the driving motor in the hybrid electric vehicle driving system, the formula which denoted the relationship between the maximum power of the vehicle, the engine and the driving motor was established, so that the proper engine and driving motor could be selected. The optimal design of the driving system of the hybrid electric vehicle could be achieved based on the above results.