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트랜스포머 모델을 활용한 전기차 배터리 SOH 예측 연구Novel SoH Estimation of Electric Vehicle Battery Using Transformer Model
- Other Titles
- Novel SoH Estimation of Electric Vehicle Battery Using Transformer Model
- Issue Date
- May-2024
- Publisher
- 한국자동차공학회
- Keywords
- 유한요소해석; 양성자교환막; 피로파손; 고분자 전해질 연료 전지; 수분/열하중; 사용자서브루틴; Finite element analysis; Proton exchange membrane; Fatigue failure; PEMFC; Hygrothermal load; User subroutine
- Citation
- 한국자동차공학회 논문집, v.32, no.5, pp 471 - 476
- Pages
- 6
- Journal Title
- 한국자동차공학회 논문집
- Volume
- 32
- Number
- 5
- Start Page
- 471
- End Page
- 476
- ISSN
- 1225-6382
2234-0149
- Abstract
- This paper presents a Transformer-based State of Health(SoH) estimation algorithm that is applied to publicly available NASA data. Data preprocessing involves the application of a moving average to reduce noise and utilize wavelet transformers to extract features. The preprocessed data serves as input to the Transformer model in estimating SoH. Next, a comparative analysis with an LSTM-based model is conducted by using the Root Mean Square Error(RMSE) metric. The proposed model demonstrates a superior SoH estimation accuracy, surpassing the LSTM-based model by up to 39.58 %.
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