模糊MCDM方法在电池换电站选址中的应用——以印度尼西亚为例

Meilinda Maghfiroh, Chathumi Kavirathna
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引用次数: 0

摘要

在电池交换系统的支持下,电动汽车(ev)的兴起带来了各种优势,包括减少等待时间、降低前期成本和缓解里程焦虑。电池交换站(BSS)通过为电动汽车用户提供方便的选择,特别是在快速充电基础设施有限的地区,增强了绿色交通。许多电动汽车,尤其是两轮车,在达到行驶里程后需要充电。BSS的可用性可以消除繁忙的电动汽车司机充电带来的不便。然而,由于预算限制,选择BSS地点往往具有挑战性。本研究旨在了解在印度尼西亚选择BSS地点的标准。利用模糊多标准决策方法和政府官员和行业专家的意见,确定了潜在的备选地点。在确定BSS建立顺序时,考虑了行驶里程、电动汽车容量和预算可用性等因素。研究发现,技术和社会方面是最重要的标准,这表明BSS的发展应该优先考虑小型市场和加油站等成熟地点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Location Selection of Battery Swap Station using Fuzzy MCDM Method: A Case Study in Indonesia
The rise of Electric Vehicles (EVs), supported by battery swap systems, brings various advantages, including reduced waiting times, lower upfront costs, and alleviating range anxiety. Battery Swap Stations (BSS) enhance green transportation by providing convenient options for EV users, especially in regions with limited fast-charging infrastructure. Many EVs, especially two-wheelers, need battery recharging after reaching their driving range. BSS availability can eliminate charging inconveniences for busy EV drivers. However, selecting BSS locations is often challenging due to budget constraints. This study aims to understand the criteria for selecting BSS locations in Indonesia. Potential location alternatives were identified using a fuzzy multi-criteria decision-making approach and input from government officials and industry experts. Factors like driving range, EV capacity, and budget availability were considered in determining the order of BSS establishment. The study found that technological and social aspects were the top criteria, suggesting that BSS development should prioritize established locations like mini markets and petrol stations.
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