基于驾驶风格辨识的能量管理策略OA

To meet the dual requirements of off-road vehicle power responsiveness and fuel economy,the energy management strategy based on driving style recognition under off-road conditions was proposed.The four off-road conditions were constructed by nuclear principal component analysis and clustering algorithm,and the condition identification model was constructed by random forest algorithm.The condition data was obtained by sliding window,and the energy management strategy based on model predictive control theory was established according to the online condition identification results.The driving style identification factor was introduced to optimize the objective function.The simulation results on the AVL Cruise platform show that compared to the optimized rule-based strategy,the model predictive control energy management strategy can reduce the 0-100 km/h acceleration time by 10.10％and improve the longitudinal speed following capability by 15.50％.The real vehicle verification results show that the 0-80 km/h acceleration time is 6.39 s with the 0-50 m acceleration time of 4.91 s,and the power abilities are respectively improved by 24.12％and 7.49％on average compared with those of the rule-based strategy.