The global optimization control strategy is one control strategy that can get more economical fuelconsumption ,but it is less used for vehicles because the shortcoming of poor immediacy on control strategy. Theimproved prediction algorithm for hybrid electric vehicle' s driving cycle was built based on the theory of fuzzyclustering, which can identify and predict driving cycle better through simulation. It is better to combine thisalgorithm with the global optimization algorithm in the hybrid electric vehicle' s application. The simulationresult shows that it has the advantage of global optimization control strategy on fuel consumption. Theshortcoming of poor immediacy on the control strategy is improved, and it can be applied directly in hybridelectric vehicle.
国家科技期刊平台
NSTL
万方数据
维普
