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논문검색

최대방전전류와 BiLTSM을 이용한 전력상태 예측 연구

원문정보

SoP Estimation based on Maximum Discharge Current using BiLSTM

요니, 안젤라, 전일수, 김명식, 임완수

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

An accurate SoC(state-of-charge) to estimate SoP(state-of-power) is the most remarkable technique for electric vehicles (EV). Hence, the estimation of battery state-of-charge prior to estimation of battery state-of-power requires more computation cost and time. This paper makes two contributions: (1) a data-driven SoP estimation method has been proposed to accurately capture the characteristics of the battery through the bidirectional long-short term memory algorithm, (2) the estimation of maximum discharge current based on voltage and SoC constraints using BiLSTM. The robustness of the proposed method has been verified by comparing the method with co-estimation and conventional method. The results show higher accuracy (approximately 24%) compared to the conventional state-of-power estimation method with 15.54 root-mean-square-error and faster computing time (approximately 66%) compared to co-estimation method with 2015 seconds calculation time, which made the proposed SoP estimation more efficient and reliable for the electric vehicles application.

한국어

본 논문은 리튬이온배터리의 전력상태(SoP, state of power) 계산 복잡도를 줄이기위하여 최대 전류에서 SoP를 추론 하는 기법을 제안한다. SoP 추론을 위해 시계열 기계학습 방법인 BiLSTM를 이용하였으며, 전압과 잔존용량 제약을 고려한 최대 전류를 사용하였다. 제안한 알고리즘은 Urban Dynamometer Driving Schedule 데이터를 이용하여 검 증하였으며, 제안한 SoP 추론 알고리즘의 계산은 평균제곱근오차(RMSE)가 15.54일 때 0.559 시간으로 측정되었다.

목차

요약
Abstract
1. INTRODUCTION
2. PROPOSED SOP ESTIMATION USING MAXIMUM CURRENT ESTIMATION
3. SIMULATION RESULTS
4. CONCLUSION
Acknowledgments
참고문헌

저자정보

  • 요니 Kumbayoni Lalu Muh. Digital Building, Kumoh National Institute of Technology
  • 안젤라 Angela C. Caliwag. Digital Building, Kumoh National Institute of Technology
  • 전일수 Il-Soo Jeon. Digital Building, Kumoh National Institute of Technology
  • 김명식 Myung-Sik Kim. Digital Building, Kumoh National Institute of Technology
  • 임완수 Wansu Lim. Digital Building, Kumoh National Institute of Technology

참고문헌

자료제공 : 네이버학술정보

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