Scholarlink

The Extended Kalman Filter as been shown to be highly effective in estimating the battery State of Charge, however its performance strongly depends on battery model accuracy and on precise knowledge of the battery model parameters. This work investigates the correlation between inaccuracies in the battery model and the resulting error in the State of Charge estimation using the Extended Kalman Filter.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Impact of Parameter Estimation Accuracy on State of Charge Estimation Using Extended Kalman Filter

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Michele Grilli,
  • Jennifer Guaitini,
  • Simone Orcioni,
  • Massimo Conti

摘要

The Extended Kalman Filter as been shown to be highly effective in estimating the battery State of Charge, however its performance strongly depends on battery model accuracy and on precise knowledge of the battery model parameters. This work investigates the correlation between inaccuracies in the battery model and the resulting error in the State of Charge estimation using the Extended Kalman Filter.