中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 广州能源研究所
  3. 中国科学院广州能源研究所
An SOE estimation model considering electrothermal effect for LiFePO4/C battery

文献类型：期刊论文

作者Lin, Shili1,2,3,4; Song, Wenji1; Lv, Jie1; Feng, Ziping1; Zhang, Yanhui5; Li, Yongliang6
刊名INTERNATIONAL JOURNAL OF ENERGY RESEARCH
出版日期2017-11-01
卷号41期号:14页码:2413-2420
关键词Electrothermal Effect Experimental Verification Lifepo4 c Battery Soe
ISSN号0363-907X
DOI10.1002/er.3818
文献子类Article
英文摘要The state of energy (SOE) is an important performance parameter and evaluation index for LiFePO4/C battery since the available energy can be known more intuitively through SOE compared with state of charge (SOC). First, in order to improve the estimation accuracy of SOE, a novel estimation model combining electrical energy and thermal energy is put forward by studying the effects of discharge rate to the change laws of all kinds of energy inside the battery cell. Moreover, the concepts of unavailable energy E-u, maximum allowable energy E, and discharge energy efficiency are originally proposed based on the analysis of energy consumption. Second, the parameter of actual maximum energy and energy consumption revised by the case of LiFePO4/C battery can give an example to show the specific steps for improving the estimation accuracy of SOE during any integration time by using the novel SOE estimation model. Lastly, 2 international standard test experiments of EV are conducted to show the correction of SOC can efficiently limit the error below 4.6% and also indicate the novel SOE estimation method suitable for application area.
WOS关键词LITHIUM-ION BATTERY ; STATE-OF-ENERGY ; ELECTROCHEMICAL STORAGE DEVICES ; HEAT-GENERATION BEHAVIOR ; ELECTRIC VEHICLES ; MANAGEMENT-SYSTEMS ; ENVIRONMENTAL-TEMPERATURE ; DISCHARGE BEHAVIOR ; THERMAL BEHAVIORS ; KALMAN FILTER
语种英语
WOS记录号WOS:000413319600037
出版者WILEY
资助机构Science and Technology Project of Guangdong Province(2015B050501008) ; Science and Technology Project of Guangdong Province(2015B050501008) ; Science and Technology Project of Guangdong Province(2015B050501008) ; Science and Technology Project of Guangdong Province(2015B050501008) ; Science and Technology Project of Guangzhou(201509010018) ; Science and Technology Project of Guangzhou(201509010018) ; Science and Technology Project of Guangzhou(201509010018) ; Science and Technology Project of Guangzhou(201509010018) ; National Natural Science Foundation of China(51477171 ; National Natural Science Foundation of China(51477171 ; National Natural Science Foundation of China(51477171 ; National Natural Science Foundation of China(51477171 ; 51607176) ; 51607176) ; 51607176) ; 51607176) ; Science and Technology Project of Guangdong Province(2015B050501008) ; Science and Technology Project of Guangdong Province(2015B050501008) ; Science and Technology Project of Guangdong Province(2015B050501008) ; Science and Technology Project of Guangdong Province(2015B050501008) ; Science and Technology Project of Guangzhou(201509010018) ; Science and Technology Project of Guangzhou(201509010018) ; Science and Technology Project of Guangzhou(201509010018) ; Science and Technology Project of Guangzhou(201509010018) ; National Natural Science Foundation of China(51477171 ; National Natural Science Foundation of China(51477171 ; National Natural Science Foundation of China(51477171 ; National Natural Science Foundation of China(51477171 ; 51607176) ; 51607176) ; 51607176) ; 51607176)
源URL[http://ir.giec.ac.cn/handle/344007/16490]  
专题中国科学院广州能源研究所
通讯作者Song, Wenji
作者单位1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Guangdong, Peoples R China
2.CAS Key Lab Renewable Energy, Guangzhou 510640, Guangdong, Peoples R China
3.Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou 510640, Guangdong, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Seoul Natl Univ, Dept Mech & Aerosp Engn, Seoul 08826, South Korea
6.Univ Birmingham, Sch Chem Engn, Birmingham B15 2TT, W Midlands, England
推荐引用方式
GB/T 7714		 Lin, Shili,Song, Wenji,Lv, Jie,et al. An SOE estimation model considering electrothermal effect for LiFePO4/C battery[J]. INTERNATIONAL JOURNAL OF ENERGY RESEARCH,2017,41(14):2413-2420.
APA Lin, Shili,Song, Wenji,Lv, Jie,Feng, Ziping,Zhang, Yanhui,&Li, Yongliang.(2017).An SOE estimation model considering electrothermal effect for LiFePO4/C battery.INTERNATIONAL JOURNAL OF ENERGY RESEARCH,41(14),2413-2420.
MLA Lin, Shili,et al."An SOE estimation model considering electrothermal effect for LiFePO4/C battery".INTERNATIONAL JOURNAL OF ENERGY RESEARCH 41.14(2017):2413-2420.

入库方式： OAI收割

来源：广州能源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。