Performance Comparison between Different Battery Architectures with Cell-to-Cell Variations

计算机科学 电池(电) 功率(物理) 量子力学 物理
作者
Chinmaya Patil,Yu‐Shan Cheng
出处
期刊:SAE technical paper series
标识
DOI:10.4271/2024-01-2195
摘要

<div class="section abstract"><div class="htmlview paragraph">A 300 mile-range automotive battery pack is comprised of many individual cells connected in series/parallel to make up the required voltage, energy, and power. The cell groupings can take the form of parallel strings of series cell groups (S-P), series string of parallel cell groups (P-S), or a hybrid of the two. Though the different battery configurations deliver identical output voltage and energy, they exhibit varying cell level behaviors due to differing electrical structure, particularly when cell imbalance occurs. In this work, we explore the relative merits of various cell grouping configurations using a model-based approach. The emphasis of the study is to evaluate the impact of electrical variation between cell-to-cell, originating from cell manufacturing process variation, battery assembly (laser tab bonding) process variation or from normal operation, on the performance of the battery pack. A first-order equivalent circuit model is used to represent a lithium-ion cell. A model of the battery system with <i>Nm</i> modules of <i>Ns</i> cells in series and <i>Np</i> cells in parallel is developed and used to analyze the voltage and state-of-charge behavior of the system with various cell grouping configurations for a specified duty cycle. The imbalances between cell-to-cell voltage and currents are used as metrics for comparing different battery architectures. Using a low voltage battery system (&lt;50V, 5 kWh nominal) as a case study, the simulation results indicate that the S-P cell grouping architecture is significantly more robust to cell-to-cell variations than P-S cell grouping architecture. Further, when paired with typical battery management system, the ability to diagnose a single cell malfunction (for example, faulty cell, poor tab weld, inadequate thermal management) is demonstrably higher for the S-P cell grouping architecture than the corresponding P-S system.</div></div>

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
星辰大海应助科研通管家采纳,获得10
刚刚
慕青应助科研通管家采纳,获得10
刚刚
JamesPei应助科研通管家采纳,获得10
刚刚
cis2014完成签到,获得积分10
刚刚
桐桐应助科研通管家采纳,获得10
刚刚
SciGPT应助科研通管家采纳,获得10
1秒前
CR7应助科研通管家采纳,获得20
1秒前
隐形曼青应助科研通管家采纳,获得10
1秒前
打打应助科研通管家采纳,获得10
1秒前
嘻嘻发布了新的文献求助10
1秒前
ying关注了科研通微信公众号
1秒前
1秒前
CR7应助科研通管家采纳,获得20
1秒前
1秒前
1秒前
酷波er应助科研通管家采纳,获得10
1秒前
共享精神应助科研通管家采纳,获得10
1秒前
1秒前
大模型应助小顾采纳,获得10
1秒前
搜集达人应助简单以旋采纳,获得10
1秒前
jijijibibibi完成签到,获得积分10
2秒前
隐形曼青应助jushangyang采纳,获得10
2秒前
赘婿应助幸福涔采纳,获得10
2秒前
2秒前
2秒前
大河完成签到,获得积分10
2秒前
2秒前
谦让夜安完成签到,获得积分20
2秒前
温柔雪青发布了新的文献求助10
2秒前
乐乐应助wzj采纳,获得10
2秒前
3秒前
eddy完成签到,获得积分10
3秒前
J_B_Zhao发布了新的文献求助10
3秒前
完美世界应助dde采纳,获得10
3秒前
3秒前
连冷安完成签到,获得积分10
4秒前
打打应助露姐采纳,获得100
4秒前
橘子海完成签到,获得积分10
4秒前
谦让夜安发布了新的文献求助10
5秒前
5秒前
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
Adhesion Science: Principles & Practice 800
The Graphene Handbook (2019 Edition) 700
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
Fundamentals of Modern Mathematics: A Practical Review (Dover Books on Mathematics) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6532303
求助须知:如何正确求助?哪些是违规求助? 8325161
关于积分的说明 17827933
捐赠科研通 5633610
什么是DOI,文献DOI怎么找? 2933093
邀请新用户注册赠送积分活动 1909697
关于科研通互助平台的介绍 1768686