摘要
电动汽车的续航里程和充电速度受电池技术的制约,由此产生的里程焦虑问题阻碍了电动汽车的普及.为了解决这一问题,降低用户成本,本文从用户的需求和使用方式出发,根据当前充电设施的发展趋势提出弹性充电策略,利用动态规划的方法在保障电量可靠供给的前提下优化充电成本.针对动态规划的复杂性,本文进而提出改进的近似算法,在降低计算复杂度的同时使充电策略更符合用户使用习惯.本文采用一辆主流型号的电动汽车对上述方法进行了实际测试,结果表明该方法能够有效降低用户充电成本.
The range and charging speed of electric vehicles are limited by battery technology,and the resulting range anxiety issues hinder the adoption of electric vehicles.In order to solve this problem and reduce the cost of users,this paper starts from the actual needs and usage of electric vehicles.Then,considering the current development trend of charging facilities,this paper proposes an elastic charging strategy,which uses dynamic programming to optimize charging costs on the premise of ensuring reliable power supply.Furthermore,for the complexity of dynamic programming,this paper proposes an improved approximation algorithm,which reduces the computational complexity while making the charging strategy more user-friendly.In this paper,a mainstream electric vehicle is used to test the above method,and the results show that the method can effectively reduce the cost of charging.
作者
孙磊
冯智伟
韩美灵
邓庆绪
SUN Lei;FENG Zhiwei;HAN Meiling;DENG Qingxu(School of Computer Science&Engineering,Northeastern University,Shenyang 110819,China;School of Modern Posts,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)
出处
《小型微型计算机系统》
CSCD
北大核心
2024年第1期132-138,共7页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(62002173,62072085)资助
中央引导地方科技发展资金项目(2022JH6/100100013)资助.
关键词
电动汽车
里程焦虑
充电站
弹性充电
充电调度策略
electric vehicle
charging station
range anxiety
elastic charging
charging scheduling strategy
