清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Design and Development of a Low-Cost Battery System for Electric Motorcycles

电池(电) 汽车工程 电动汽车 电动汽车 计算机科学 汽车蓄电池 电气工程 嵌入式系统 工程类 功率(物理) 量子力学 物理
作者
Ahmed M. Elbeshbeshy,Omar Matar,Ahmed Shawky,Amr Alaaeldin,Hisam S. Faiod,Mennatallah A. Gomaa,Habiba A. Ahmed,Arwa G. Shaheen,Sahar S. Kaddah,Basem M. Badr
标识
DOI:10.1109/mepcon58725.2023.10462347
摘要

The increasing concern for environmental sustainability and the necessity to mitigate greenhouse gas emissions have resulted in a growing demand for different transportation options. Among these options, electric motorcycles (E-Motorcycles) have emerged as a promising solution to tackle the challenges presented by conventional fossil-fueled vehicles. In this paper, the design and development of an inexpensive battery system for E-Motorcycles is discussed. A comprehensive literature review is conducted to explore various battery and battery management systems (BMS) utilized in electric mobility systems. The advantages and disadvantages of different systems are emphasized, providing valuable insights into the proposed battery system. A battery tester circuit is designed and developed to measure the capacity of multiple battery cells simultaneously. Efficient charging (based on constant current and voltage technique) and discharging are guaranteed through the implementation of passive cell balancing, which equalizes the voltage of each cell in the battery pack. Different methods of state of charge (SoC) estimation are designed and analyzed. Simulation work validates the performance of the battery tester circuit and the BMS, where the performance of the battery system is evaluated through experimental tests. The experimental results align with the simulation results, affirming the effectiveness of the designed battery system. The developed battery pack composes of 65 lithium-ion battery cells arranged into 13 modules, to provide 48V, 350Wh, 30ARated for the drivetrain system.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
彭于晏应助夏茉弋采纳,获得10
1秒前
8秒前
9秒前
文章多多发布了新的文献求助10
11秒前
所所应助文章多多采纳,获得10
17秒前
LUCKY完成签到 ,获得积分10
1分钟前
情怀应助科研通管家采纳,获得150
1分钟前
1分钟前
超大份雪碧完成签到 ,获得积分10
2分钟前
2分钟前
夏茉弋完成签到,获得积分10
2分钟前
夏茉弋发布了新的文献求助10
2分钟前
ZYP发布了新的文献求助10
2分钟前
久晓完成签到 ,获得积分10
3分钟前
大医仁心完成签到 ,获得积分10
3分钟前
ZYP完成签到,获得积分0
4分钟前
ZYP发布了新的文献求助10
4分钟前
4分钟前
doublenine18发布了新的文献求助30
4分钟前
4分钟前
4分钟前
4分钟前
4分钟前
5分钟前
5分钟前
5分钟前
外向的妍完成签到,获得积分10
5分钟前
6分钟前
6分钟前
6分钟前
萝卜猪完成签到,获得积分10
6分钟前
6分钟前
swh发布了新的文献求助10
7分钟前
7分钟前
7分钟前
ZYP发布了新的文献求助10
7分钟前
隐形曼青应助结实的半双采纳,获得10
7分钟前
7分钟前
Johan完成签到 ,获得积分10
7分钟前
7分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
Psychology of Self-Regulation 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5639779
求助须知:如何正确求助?哪些是违规求助? 4750432
关于积分的说明 15007332
捐赠科研通 4797998
什么是DOI,文献DOI怎么找? 2564082
邀请新用户注册赠送积分活动 1522938
关于科研通互助平台的介绍 1482609