摘要
电动汽车存在电量耗尽的风险,研究一种安全经济的电动汽车充电路径规划方法。以电动汽车路径最短、等待及充电时间最短、附加能量损耗最少和电池寿命最长这四方面为优化目标,以路径选择、电池放电阀值、充电停车为约束条件,建立电动汽车充电路径规划模型。在复杂路网下降低车辆能量损耗并延长电池使用寿命,利用蚁群算法,以某城市30km×30km包含4个快充式充电站区域为例进行仿真。结果表明:该方法能够优先推荐动态能耗和电池寿命最优路径,验证了所提优化策略的可行性。该研究为不同需求下的车载导航提供了技术支持。
This paper is an attempt to reduce vehicle energy loss and prolong battery life in complex road network and address an optimization problem with certainty multi-objective and multi-constraint by choosing the shortest path,waiting and charging time,the least energy loss and the longest battery life of electric vehicles as objective functions and using path selection,battery discharge threshold and charging parking as constraint conditions.Based on ant colony algorithm,simulation results of 30 km×30 km urban area containing four fast charging station reveal that optimal path of dynamic energy consumption and battery life can be recommended as a matter of priority in the complex road network and the proposed optimization strategy is feasible.The study could provide a technical support for vehicle navigation under different requirements.
作者
杨莹
谢泽
赵为光
Yang Ying;Xie Ze;Zhao Weiguang(School of Electrical & Control Engineering,Heilongjiang University of Science & Technology,Harbin 150022,China)
出处
《黑龙江科技大学学报》
CAS
2019年第4期490-495,共6页
Journal of Heilongjiang University of Science And Technology
基金
国家自然科学基金项目(51677057)
黑龙江省教育厅省属高校科技成果研发、培育、转化支持计划项目(TSTAU-R201805)
关键词
电动汽车
充电路径
能量损耗
电池寿命
蚁群算法
electric vehicle
charging path
energy loss
battery life
ant colony algorithm
