다중선형회귀모델 기반 고출력 직렬 배터리 팩의 전압불균형 추정
Multiple linear regression model-based voltage imbalance estimation for high-power series battery pack
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초록
본 논문에서는 18650 원통형 NCA 리튬이온 배터리로 구성된 고출력 직렬 배터리로 다양한 C-rate의 전기적 특성을 테스트한다. 테스트를 통해 추출한 14S1P 배터리 팩의 방전 용량 데이터와 4S1P 배터리 팩의 EV cycle 데이터를 통해 C-rate의변화에 따른 전기적 특성을 분석한다. 분석을 통해 얻은 데이터를 기반으로 C-rate에 따른 방전용량 실험의 셀 간 전압 편차와 EV cycle 실험의 셀 간 전압 편차를 다중선형회귀 모델로 추정하여 선형적인 특징을 가진 데이터와 비선형적인 특징을가진 데이터에 대한 각각의 추정성능을 검증한다. 모델의 추정성능을 검증하기 위해 추정 데이터와 실제 데이터의 RMSE를구해 알고리즘의 정확성을 평가한다. 논문의 결과는 14S1P 배터리 팩의 방전 용량의 셀 간 전압 불균형과 4S1P 배터리 팩의EV cycle의 셀 간 전압 불균형 중 선형적인 데이터인 방전 용량의 셀 간 불균형 데이터의 추정 성능이 더 뛰어난 것을 검증하는데 기여한다.
Abstract
In this paper, the electrical characteristics with various C-rates are tested with a high power series battery packcomprised of 18650 cylindrical nickel cobalt aluminum(NCA) lithium-ion battery. The electrical characteristics ofdischarge capacity test with 14S1P battery pack and electric vehicle (EV) cycle test with 4S1P battery pack arecompared and analyzed by the various of C-rates. Multiple linear regression is used to estimate voltage imbalance of14S1P and 4S1P battery packs with various C-rates based on experimental data. The estimation accuracy is evaluatedby root mean square error(RMSE) to validate multiple linear regression. The result of this paper is contributed that touse for estimating the voltage imbalance of discharge capacity test with 14S1P battery pack using multiple linearregression better than to use the voltage imbalance of EV cycle with 4S1P battery pack
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