论文标题
电动车队舰队路由会核算动态电池降解
Electrical Vehicle Fleet Routing Accounting for Dynamic Battery Degradation
论文作者
论文摘要
电动车辆（EV）的吸收越来越多，提高了对电池降解成本以及如何最小化电池降解成本的认识。但是，从计划的角度来看，很难将电池降解模型整合到现有的路线计划模型中，并评估旨在减少电池退化的政策如何影响整个车队的路线计划成本和降级。在本文中，简单的运输车辆路由问题（VRP）被配制为混合企业非线性问题（MINLP），并进行了修改，该修改允许监视整个车队的最大和最小分离（DOD）。这使我们能够在在线优化过程中测量电池健康降解。结果表明，考虑不同路线特性对电池降解的影响可能会影响整个车队的路线计划以及所有车辆的电池降解。从长远来看，通过强迫车辆适应某些DOD边界来实现后者。
The increasing uptake of electrical vehicles (EVs) has increased the awareness of battery degradation costs and how they can be minimized. However, from a planning perspective it is difficult to integrate battery degradation models into existing route planning models and to assess how policies that aim at reducing battery degradation affect route planning costs and degradation across the fleet. In this paper, a simple transportation vehicle routing problem (VRP) is formulated as a mixed-integer nonlinear problem (MINLP), with a modification that allows monitoring the maximum and minimum depth-of-discharge (DoD) of the entire fleet. This allows us to measure the battery health degradation during the online optimization process. The results show that accounting for the impact of different route characteristics on battery degradation can have an impact on the route planning of the entire fleet as well as the battery degradation for all vehicles. The latter is achieved by forcing vehicles to adapt to certain DoD boundaries in the long term.
