contributor author | Qi Zhang | |
contributor author | Jie Yang | |
contributor author | Zhiyuan Liu | |
date accessioned | 2022-08-18T12:36:51Z | |
date available | 2022-08-18T12:36:51Z | |
date issued | 2022/07/14 | |
identifier other | JTEPBS.0000716.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4286905 | |
description abstract | Small-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. | |
publisher | ASCE | |
title | When to Charge a Small-Range Battery Electric Vehicle: Refining Charging Strategies Using a Scenario-Based Approach | |
type | Journal Article | |
journal volume | 148 | |
journal issue | 9 | |
journal title | Journal of Transportation Engineering, Part A: Systems | |
identifier doi | 10.1061/JTEPBS.0000716 | |
journal fristpage | 04022067 | |
journal lastpage | 04022067-11 | |
page | 11 | |
tree | Journal of Transportation Engineering, Part A: Systems:;2022:;Volume ( 148 ):;issue: 009 | |
contenttype | Fulltext | |