摘要
如今气候变化加剧,电动冷藏车的工作环境逐渐恶化.温度和充电造成的电池损耗对企业配送成本影响较大,以不同温度场景下车辆采取不同SOC充电策略一次充电造成的电池容量衰退成本估计电池损耗成本,研究了可多次充电的冷藏车城市物流配送路径规划问题,建立起以总成本之和最小为目标函数的路径规划模型,并采用蚁群算法求解.结果表明在一般温度条件下(15℃、25℃),电动冷藏车选择80%的充电策略可获得最低的总运营成本;当温度增加到(35℃、45℃)时,充电策略应选择70%,此时电池损耗成本、行驶成本和时间惩罚成本都会降低;当温度降低到(5℃、-15℃、-25℃)时,充电策略应选择90%,此时行驶成本将明显降低.
With more frequent fierce climate changes,the working environment of electric refrigerated trucks is getting deteriorating.Battery loss caused by temperature and charging has a great impact on enterprise distribu-tion costs.The battery loss cost was estimated based on the battery capacity decline cost caused by single charge under different SOC charging strategies at different temperature scenarios.The urban logistics distribution route planning for rechargeable refrigerated trucks was studied,with a path planning model established for the objective function of minimum sum of total costs,and the ant colony algorithm the solution.The results showed that under nor-mal temperature conditions(15℃,25℃),80%charging strategy could obtain the lowest total operating cost.When the temperature increased to(35℃,45℃),the charging strategy should be 70%,and the battery loss cost,driving cost and time penalty cost would be reduced.When the temperature was reduced to(5℃,-15℃,-25℃),the charging strategy should choose 90%,and the driving cost would be significantly reduced.
作者
瞿丹
戚磊
谭明亮
QU Dan;QI Lei;TAN MingLiang(Department of Management,North Sichuan Medical University,Nanchong,Sichuan 637000;Department of Basic Medicine and Forensic Medicine,North Sichuan Medical University,Nanchong,Sichuan 637000)
出处
《绵阳师范学院学报》
2024年第8期98-105,共8页
Journal of Mianyang Teachers＇ College
基金
国家自然科学青年基金项目(22308038)
四川省自然科学青年基金项目(2023NSFCS1676)
南充市社科研究“十四五”规划2024年度项目(NC24C140)。
关键词
极端温度
充电策略
电动冷藏车
蚁群算法
路径优化
Temperature
Charging strategy
Electric refrigerated truck
Ant colony algorithm
Path optimization
