Evaluation Approach of Electric Vehicle Batteries Based on Actual Driving Data
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20144116
- Paper/Info type
- Other International Conferences
- Pages
- 1-4(Total 4 p)
- Date of publication
- May 2014
- Publisher
- Others, Unknown
- Language
- English
- Event
- EVTeC & APE Japan 2014
Detailed Information
| Category(E) | RS-7: V2G and Energy Management |
|---|---|
| Author(E) | 1) Takuya Taguchi, 2) Kentaro Kaji, 3) Kazuki Maeda, 4) Kenji Tanaka |
| Affiliation(E) | 1) The University of Tokyo, 2) The University of Tokyo, 3) The University of Tokyo, 4) The University of Tokyo |
| Abstract(J) | EV搭載のLIBに対して行われる性能評価法を提案した．提案方法は運転中に得られたデータのみで運転性能を評価することができるため，他のテストを必要としない．事例は数種のモデルEVに対して行われ，その結果，電池の出力および容量の劣化は使用後に起こること，劣化の両要因は移動距離よりも時間の経過に大きく依存することがわかった． Translation |
| Abstract(E) | This paper presents an onboard performance evaluation method for lithium-ion batteries on electric vehicles. The proposed method is capable of evaluating the battery performance only with the data obtained while driving and does not require any additional tests for evaluation. The objective of this study is to develop a practicable evaluation model for LiB mounted on EVs, based on driving history data. In this study, at first, the "performance" of LiB is defined from users' point of view. Criteria of performance required by users can be aggregated into 2 indexes, "Power density" and "Energy density". So in this study, the performances of LiB were defined as the two criteria. Second, authors developed the evaluation model for the performance of LiB from driving history data. internal resistance and capacity are evaluated based on driving history data, which includes velocity, voltage, current, state of charge, maximum and minimum temperature in the battery cell, and OCV-SOC curve of the same kind of LiB mounted on the EV. At first, internal resistance is evaluated, and subsequently capacity is evaluated using the calculated value of internal resistance. Finally, case studies are conducted for electric vehicles of the same model. The results show that power fade and capacity fade of the battery take place after use, and implies that both factors of degradation are more dependent on the elapsed time than the traveled distance. |
