基于交通信息的电动汽车制动策略及仿真

为了提高滑行能量回收经济性和踏板制动安全性、舒适性,基于交通信息,提出了电动汽车(EV)制动协调策略。分析了滑行制动的经济性,由交通信息和汽车行驶状态确定滑行制动强度;由道路信息和前方车辆信息建立汽车安全距离模型和碰撞预警策略,利用预警信息对滑行制动和踏板制动强度进行协调。对本策略进行仿真验证。结果表明:利用交通信息的滑行策略,在通行良好工况下综合能耗减少1.1%,拥堵工况下减轻驾驶员的制动疲劳;预警和协调策略避免了频繁预警,减小了紧急避撞触发几率。因此,利用交通信息能够辅助驾驶员进行更加合理的制动。

Braking strategy and simulation of electric vehicle based on traffic information

A braking coordination strategy of electric vehicles(EV)was proposed based on traffic information to improve the economy of coasting recovery and the safety and comfort of pedal braking.After analyzed slide braking economy,the coasting intensity was determined by the traffic condition and the vehicle state information.A vehicle safety distance model and a collision warning strategy were established based on the traffic information and the forward vehicle information with the warning information being used to coordinate the coasting braking and pedal braking strength.The strategies were verified by simulation.The results show that the comprehensive energy consumption is reduced by 1.1%in good traffic conditions;the braking fatigue of drivers is alleviated in congestion conditions by using the coasting strategy based on traffic information;warning and coordination strategies avoid frequent warning and reduce the probability of triggering emergency braking.Therefore,using traffic information can assist driver to brake more reasonably.