{"title":"Energy-Efficient Dispatching of Battery Electric Truck Fleets with Backhauls and Time Windows","authors":"Dongbo Peng, Guoyuan Wu, K. Boriboonsomsin","doi":"10.4271/14-13-01-0009","DOIUrl":"https://doi.org/10.4271/14-13-01-0009","url":null,"abstract":"The adoption of battery electric trucks (BETs) as a replacement for diesel trucks has potential to significantly reduce greenhouse gas emissions from the freight transportation sector. However, BETs have shorter driving range and lower payload capacity, which need to be taken into account when dispatching them. This article addresses the energy-efficient dispatching of BET fleets, considering backhauls and time windows. To optimize vehicle utilization, customers are categorized into two groups: linehaul customers requiring deliveries, where the deliveries need to be made following the last-in-first-out principle, and backhaul customers requiring pickups. The objective is to determine a set of energy-efficient routes that integrate both linehaul and backhaul customers while considering factors such as limited driving range, payload capacity of BETs, and the possibility of en route recharging. We formulate the problem as a mixed-integer linear programming model and propose an algorithm that combines adaptive large neighborhood search and simulated annealing metaheuristics to solve it. The effectiveness of the proposed strategy is demonstrated through extensive experiments using a real-world case study from a logistics company in Southern California. The results indicate that the proposed strategy leads to a significant reduction in total energy consumption compared to the baseline strategy, ranging from 11% to 40%, while maintaining reasonable computational time. In addition, the proposed strategy provides solutions that are better than or comparable with those obtained by other metaheuristics. This research contributes to the development of sustainable transportation solutions in the freight sector by providing a novel approach for dispatching BET fleets. The findings emphasize the potential of deploying BETs to achieve energy savings and advance the goal of green logistics.","PeriodicalId":36261,"journal":{"name":"SAE International Journal of Electrified Vehicles","volume":"3 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139164972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using Latent Heat Storage for Improving Battery Electric Vehicle\u0000 Thermal Management System Efficiency","authors":"Zhou Wei, Jiangbin Zhou, Christian Rathberger","doi":"10.4271/14-13-02-0012","DOIUrl":"https://doi.org/10.4271/14-13-02-0012","url":null,"abstract":"One of the key problems of battery electric vehicles is the risk of severe range\u0000 reduction in winter conditions. Technologies such as heat pump systems can help\u0000 to mitigate such effects, but finding adequate heat sources for the heat pump\u0000 sometimes can be a problem, too. In cold ambient conditions below −10°C and for\u0000 a cold-soaked vehicle this can become a limiting factor. Storing waste heat or\u0000 excess cold when it is generated and releasing it to the vehicle thermal\u0000 management system later can reduce peak thermal requirements to more manageable\u0000 average levels. In related architectures it is not always necessary to replace\u0000 existing electric heaters or conventional air-conditioning systems. Sometimes it\u0000 is more efficient to keep them and support them, instead. Accordingly, we show,\u0000 how latent heat storage can be used to increase the efficiency of existing,\u0000 well-established heating and cooling technologies without replacing them. We\u0000 investigate different possibilities for the integration of phase change\u0000 materials into a baseline battery electric vehicle thermal management system and\u0000 compare the resulting benefits.","PeriodicalId":36261,"journal":{"name":"SAE International Journal of Electrified Vehicles","volume":"105 3","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138958718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}