网联环境下的燃料电池混合动力汽车能量管理

Energy Management of Fuel Cell Hybrid Electric Vehicle in Networked Enviroment

为了缓解城市交通拥挤和减少能源消耗,本文提出一种基于智能交通信息的燃料电池混合动力汽车(FCHEV)分层能量管理策略。利用车联网技术获取目标车辆的路况信息,建立交通信号灯正时模型,获取最优目标车速。基于目标车速,获取车辆的需求功率,分层设计自适应等效消耗最小策略和模型预测控制方法,实现对3种能量源需求功率的最优分配。通过仿真和实验验证所提能量管理策略的有效性。研究结果表明:该策略能够有效避免红灯前频繁启停,燃料经济性和续航里程分别提高了9.83%和5.13%。

To alleviate urban traffic congestion and reduce energy consumption, a hierarchical energy management strategy based on intelligent transportation information for fuel cell hybrid electric vehicle(FCHEV) was proposed in this paper.Road information of the target vehicle was obtained by using the internet of vehicles technology,and then the optimal target speed was planned via the traffic signal timing model.The power demand was obtained based on the target speed, and adaptive equivalent hydrogen consumption minimum strategy and model predictive control method was designed to realize the optimal distribution of the power demand for three energy sources.Finally,the effectiveness of energy management strategy proposed in this paper was verified through simulation and experiment.The research results showed that the strategy can effectively avoid frequent start and stop before the red light.The hydrogen consumption economy and cruising mileage are increased by 9.83% and 5.13%,respectively.