Safety-critical Eco-driving Strategy for Electric Vehicle at Signalized Intersection Using Control Barrier Function

Haonan Ding, Haoxuan Dong, Weichao Zhuang, Haoji Liu, Guo-dong Yin, Zhihan Li
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Abstract

This paper proposes a safety-critical eco-driving strategy to reduce the energy consumption of electric vehicles (EV) which is driving through a signalized intersection. First, the energy-optimal control problem is formulated with the goal of minimum battery power consumption with some safety related constraints. Second, the original optimal control problem is converted to a quadratic programming by using Control Barrier Functions (CBF), which can ensure the safety of the ego vehicle from traffic flow. The energy optimal speed profiles are derived to reduce travel delay while ensuring vehicle driving safety. Finally, three driving scenarios are simulated to evaluate the effectiveness of proposed strategy. The results show that the proposed strategy can reduce the EV’s energy consumption dramatically compared to a traditional driving strategy, while the vehicle safety requirement is strictly met.
基于控制屏障功能的信号交叉口电动汽车安全生态驾驶策略
为了降低电动汽车通过信号交叉口时的能耗,提出了一种以安全为关键的生态驾驶策略。首先,以电池功耗最小为目标,在一定的安全约束条件下,建立能量最优控制问题。其次,利用控制障碍函数(CBF)将原最优控制问题转化为二次规划问题,保证自驾车在车流中安全行驶;在保证车辆行驶安全的前提下,推导出能量最优速度剖面。最后,对三种驾驶场景进行了仿真,以评估所提策略的有效性。结果表明,与传统驾驶策略相比,该策略能显著降低电动汽车的能耗,同时严格满足车辆的安全要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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