基于融合算法的电动汽车AEB控制策略

AEB control strategy of electric vehicle based on fusion algorithm

自动紧急制动(Autonomous Emergency Braking,AEB)是一种主动安全技术.为了解决安全距离算法或碰撞时间算法(Time-to-Collision,TTC)不能同时保障安全性和舒适性的问题,提出一种基于融合算法的控制策略,该策略综合利用安全距离算法和TTC算法,在安全距离算法中针对道路附着系数变化进行了优化,以两车最小相对距离为优化目标提高安全性,以预警时长为优化目标提高舒适性.建立了基于Carsim和Simulink仿真平台,对该策略进行了仿真分析.结果表明:在中国新车评价规程(China New Car Assessment Program,C-NCAP)中,该策略可以在不同工况下实现避撞功能并提升舒适性.

Autonomous Emergency Braking(AEB)is an active safety technology.In order to solve the problem that the safe distance algorithm or the Time-to-Collision(TTC)algorithm cannot guarantee safety and comfort at the same time,an AEB control strategy based on fusion algorithm is proposed,which integrates the safe distance algorithm and TTC algorithm.This strategy is optimized for the road adhesion coefficient changes in the safe distance algorithm,with the minimum relative distance between two vehicles as the optimization goal to improve safety,and the warning time as the optimization goal to improve comfort.A simulation platform based on Carsim and Simulink is established to simulate and analyze the strategy.The results show that the strategy can achieve collision avoidance and improve comfort under different operating conditions in the China New Car Assessment Program(C-NCAP).