考虑载重及不完全充电策略的电动车路径规划研究
Research on electric vehicle routing problem with linear weight related discharging and partial recharging
双碳目标的提出,加快了电动车在物流配送行业的普及。因此本文研究了考虑车辆载重影响耗电率的电动车物流配送路径规划问题,同时,为减少电量的浪费,本文采用不完全充电策略,基于此构建了以包含车辆固定成本、车辆使用成本、车辆充电成本和时间窗惩罚成本在内的总成本最小为目标,且考虑车辆载重约束、电量约束、时间窗约束的数学模型,并针对模型设计了遗传算法,使用所罗门数据集进行实验,结果表明,设计的算法能够较快的找到最优解且具有较强的稳定性。
he proposal of the dual-carbon goal has accelerated the popularity of electric vehicles in the logistics and distribution industry. Therefore, the paper studies the electric vehicle routing problem(EVRP) with linear weight related discharging. In order to reduce the waste of power, the paper adopts the partial recharging strategy. Based on this, a mathematical model is established to minimize the total cost including vehicle fixed cost, driving cost, recharging cost and time window penalty cost, and to consider vehicle load constraints, power constraints, and time window constraints, and the genetic algorithm is designed to solve the problem. Experiments using Solomon dataset show that the algorithm can find the optimal solution quickly and has strong stability.
黄敏志、卢山
公路运输工程能源动力工业经济
物流配送电动车路径规划载重因素不完全充电策略遗传算法
logistics distributionelectric vehicle routing problem(EVRP)linear weight related dischargingpartial recharging strategygenetic algorithm
黄敏志,卢山.考虑载重及不完全充电策略的电动车路径规划研究[EB/OL].(2023-03-06)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/202303-49.点此复制
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