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contributor authorQi Zhang
contributor authorJie Yang
contributor authorZhiyuan Liu
date accessioned2022-08-18T12:36:51Z
date available2022-08-18T12:36:51Z
date issued2022/07/14
identifier otherJTEPBS.0000716.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286905
description abstractSmall-range battery electric vehicles (BEVs), with driving ranges less than 200 km, are susceptible to charging defects. This study applied a scenario-based approach by modeling a cost function to recommend an optimal charging strategy for small-range BEV users. The proposed cost function considers the operating and range limitation costs of BEVs. The charging threshold, which reflects the charging preference of a user, is adjusted using the cost function and analyzed by comparing different scenarios using real data collected from Shanghai, China. The simulation results indicate that every 2.5 times increase in the charging threshold results in a decrease of approximately 48.9% in the charging times and a 10% reduction in the electrified proportion of a journey. For electrified proportions below 85%, small-range BEVs are no longer an economical option over internal combustion engine vehicles. Moreover, the optimal charging threshold is 35%–41% for BEVs with a 170 km range, and the corresponding daily ownership costs are more reasonable than those of medium and long-range BEVs. The scenario analysis of the availability of the charging piles and battery price further demonstrates the economic advantages of small-range BEVs. These results provide instructible charging strategies for small-range BEV users to alleviate the shortcomings of the range limitations and frequent charging.
publisherASCE
titleWhen to Charge a Small-Range Battery Electric Vehicle: Refining Charging Strategies Using a Scenario-Based Approach
typeJournal Article
journal volume148
journal issue9
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.0000716
journal fristpage04022067
journal lastpage04022067-11
page11
treeJournal of Transportation Engineering, Part A: Systems:;2022:;Volume ( 148 ):;issue: 009
contenttypeFulltext


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