康永哲
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State-of-Health Estimation with Anomalous Aging Indicator Detection of Lithium-ion Batteries Using Regression Generative Adversarial Network
  • Institution:
    控制科学与工程学院
  • Title of Paper:
    State-of-Health Estimation with Anomalous Aging Indicator Detection of Lithium-ion Batteries Using Regression Generative Adversarial Network
  • Journal:
    IEEE Transactions on Industrial Electronics
  • Key Words:
    Aging;anomalous aging indicator detection;Batteries;Battery charge measurement;Computational modeling;Estimation;Feature extraction;lithium-ion (Li-ion) batteries;regression generative adversarial network;state-of-health (SOH);Training
  • First Author:
    Zhao, Guangcai
  • Document Code:
    1541689712361619458
  • Number of Words:
    8
  • Translation or Not:
    No
  • Date of Publication:
    2022-01
  • Release Time:
    2023-03-05
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