Application Simulation of Improved Prediction Algorithm for Hybrid Electric Vehicle's Driving Cycle

The global optimization control strategy is one control strategy that can get more economical fuel consumption,but it is less used for vehicles because the shortcoming of poor immediacy on control strategy.The improved prediction algorithm for hybrid electric vehicle's driving cycle was built based on the theory of fuzzy clustering,which can identify and predict driving cycle better through simulation.It is better to combine this algorithm with the global optimization algorithm in the hybrid electric vehicle's application.The simulation result shows that it has the advantage of global optimization control strategy on fuel consumption.The shortcoming of poor immediacy on the control strategy is improved,and it can be applied directly in hybrid electric vehicle.