A Comprehensive Review of Electric Vehicle Efficiency Enhancement Through Drive Cycle Optimization: Evaluating its Influence on Electric Range and Longevity

Author:

Alset UtkarshORCID,Chavan DattaORCID,Pillewar Panchshila,Andhale Snehal

Abstract

The best driving range for electric cars (EVs) is a major difficulty because this parameter is mostly determined by the amount of energy in the battery pack. However, it is crucial to understand that user behavior and particular driving habits have a significant impact on this range. The necessity for a reevaluation of typical drive cycles, which have grown increasingly out of step with changing customer needs, has been highlighted by recent controversy around the stated range statistics by EV manufacturers. Drive cycles must be modified in accordance with the major variances in driving behaviors across various vehicle segments. In addition, the driving cycle and patterns change across different demographic areas in varied countries like India, creating a special difficulty in the development of a new standard driving cycle that can accommodate a wide range of users. Real-world driving patterns must be taken into account in order to effectively anticipate an EV’s range and evaluate the durability and warranty of its battery pack. The careful selection of a very-specific driving-based realistic profile is therefore crucial for the environment surrounding electric vehicles. We explore the complex process of creating driving profiles particularly designed for electric vehicles in this in-depth review article. We examine the subtleties and traits of these profiles to offer light on their importance in the context of EVs. This assessment provides insightful information on how electric car technology is developing as well as the crucial part that driving styles will play in the development of sustainable transportation in the future.

Publisher

EDP Sciences

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3