School of Automotive Engineering, Chongqing University, Chongqing 400044, P. R. China;State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P. R. China 在期刊界中查找 在百度中查找 在本站中查找
In order to quickly screen the hybrid electric vehicle powertrain (EVT, electric variable transmission) configurations based on their fuel economy, a configuration matrix of hybrid EVT system is proposed and the dynamic model of hybrid EVT system is established on the basis of graph theory hierarchical drawing model of hybrid EVT system. A fuel consumption model of hybrid EVT system that combines general regression neural network and dynamic programming algorithm is established and its effectiveness is verified by comparing the calculation results of GRNN fuel consumption model and that of the DP simulation of the test configurations.
