A neural network fuel consumption model hybrid of EVT system
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Abstract:
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.