Optimization-Based Battery Thermal Management for Improved Regenerative Braking in CEP Vehicles

Dominik Rehm, Jonathan Krost, Martin Meywerk, Walter Czarnetzki
{"title":"Optimization-Based Battery Thermal Management for Improved Regenerative Braking in CEP Vehicles","authors":"Dominik Rehm, Jonathan Krost, Martin Meywerk, Walter Czarnetzki","doi":"10.4271/2024-01-2974","DOIUrl":null,"url":null,"abstract":"The courier express parcel service industry (CEP industry) has experienced significant changes in the recent years due to increasing parcel volume. At the same time, the electrification of the vehicle fleets poses additional challenges. A major advantage of battery electric CEP vehicles compared to internal combustion engine vehicles is the ability to regenerate the kinetic energy of the vehicle in the frequent deceleration phases during parcel delivery. If the battery is cold, the maximum regenerative power of the powertrain is limited by a reduced chemical reaction rate inside the battery. In general, the maximum charging power of the battery depends on the state of charge and the battery temperature. Due to the low power demand for driving during CEP operation, the battery self-heating is comparably low. Without active conditioning of the battery, potential of regenerating energy is partially lost because the friction brake needs to absorb kinetic energy whenever the cold battery’s limit is exceeded. This paper proposes an optimization-based strategy for the battery thermal management of CEP vehicles. The tradeoff between the cost of battery heating and the benefit of regenerative braking is investigated under cold ambient conditions. For this purpose, a nonlinear model predictive control approach is developed to maximize the overall vehicle efficiency depending on the upcoming driving task by selective battery heating. The evaluation shows that the increase in overall efficiency depends on the electric efficiency of the battery heating system, the ambient conditions, the intensity and frequency of the deceleration phases, and the usage behavior of the vehicle. Based on the assumption that the driving cycle and ambient conditions can be accurately predicted, the model-in-the-loop simulation indicates a reduction in energy consumption of up to 3.3 % with an electric coolant heater and up to 9.6 % with an ambient heat pump.","PeriodicalId":510086,"journal":{"name":"SAE Technical Paper Series","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAE Technical Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4271/2024-01-2974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The courier express parcel service industry (CEP industry) has experienced significant changes in the recent years due to increasing parcel volume. At the same time, the electrification of the vehicle fleets poses additional challenges. A major advantage of battery electric CEP vehicles compared to internal combustion engine vehicles is the ability to regenerate the kinetic energy of the vehicle in the frequent deceleration phases during parcel delivery. If the battery is cold, the maximum regenerative power of the powertrain is limited by a reduced chemical reaction rate inside the battery. In general, the maximum charging power of the battery depends on the state of charge and the battery temperature. Due to the low power demand for driving during CEP operation, the battery self-heating is comparably low. Without active conditioning of the battery, potential of regenerating energy is partially lost because the friction brake needs to absorb kinetic energy whenever the cold battery’s limit is exceeded. This paper proposes an optimization-based strategy for the battery thermal management of CEP vehicles. The tradeoff between the cost of battery heating and the benefit of regenerative braking is investigated under cold ambient conditions. For this purpose, a nonlinear model predictive control approach is developed to maximize the overall vehicle efficiency depending on the upcoming driving task by selective battery heating. The evaluation shows that the increase in overall efficiency depends on the electric efficiency of the battery heating system, the ambient conditions, the intensity and frequency of the deceleration phases, and the usage behavior of the vehicle. Based on the assumption that the driving cycle and ambient conditions can be accurately predicted, the model-in-the-loop simulation indicates a reduction in energy consumption of up to 3.3 % with an electric coolant heater and up to 9.6 % with an ambient heat pump.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于优化的电池热管理,改进 CEP 车辆的再生制动性能
近年来,由于包裹量不断增加,快递包裹服务行业(CEP 行业)经历了重大变化。与此同时,车队的电气化也带来了更多挑战。与内燃机车辆相比,电池电动 CEP 车辆的一大优势是能够在包裹递送过程中的频繁减速阶段再生车辆动能。如果电池处于低温状态,动力系统的最大再生功率就会受到电池内部化学反应速率降低的限制。一般来说,电池的最大充电功率取决于充电状态和电池温度。由于 CEP 运行期间的驾驶功率需求较低,因此电池的自热度也相对较低。如果不对电池进行主动调节,再生能量的潜力就会部分丧失,因为只要超过冷电池的极限,摩擦制动器就需要吸收动能。本文提出了一种基于优化的 CEP 车辆电池热管理策略。研究了在寒冷环境条件下电池加热成本与再生制动效益之间的权衡。为此,本文开发了一种非线性模型预测控制方法,根据即将到来的驾驶任务,通过选择性电池加热实现车辆整体效率的最大化。评估结果表明,整体效率的提高取决于电池加热系统的电力效率、环境条件、减速阶段的强度和频率以及车辆的使用行为。在可以准确预测驾驶周期和环境条件的前提下,环中模型模拟表明,使用电冷却液加热器最多可减少 3.3% 的能耗,使用环境热泵最多可减少 9.6% 的能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Thermal coupled structural analysis of a brake disc Development of Brake Shoe with Carbon Footprint Reduction Emergency Braking System: Verification of system behavior on commercial vehicles equipped with drum braking system Assets Maintenance Strategy Based on Operational Data Analysis Microstructural Analysis and Tribological Performance of Composite Iron Sulfides in Automotive Brake Pads
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1