We present a Battery and Motor Circuit Model (BMCM) for electric vehicles, followed by a systematic and comprehensive interval observer design aimed at estimating all the states of the BMCM, including internal capacitor voltages. Traditional designs have often depended on transformations that impose certain limitations when converting the model into a Metzler form. We demonstrate that these can be effectively replaced by a linear time-invariant transformation, which can be easily precomputed offline. Our method, grounded in the Kazantzis-Kravaris/Luenberger (KKL) paradigm, offers a simplified solution requiring only a single constant transformation matrix.

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

Interval Observer for Battery and Motor Circuit Model of Electric Vehicles

  • Thach Ngoc Dinh,
  • Wissam Khennoune,
  • Amélie Lambert,
  • Mathieu Moze

摘要

We present a Battery and Motor Circuit Model (BMCM) for electric vehicles, followed by a systematic and comprehensive interval observer design aimed at estimating all the states of the BMCM, including internal capacitor voltages. Traditional designs have often depended on transformations that impose certain limitations when converting the model into a Metzler form. We demonstrate that these can be effectively replaced by a linear time-invariant transformation, which can be easily precomputed offline. Our method, grounded in the Kazantzis-Kravaris/Luenberger (KKL) paradigm, offers a simplified solution requiring only a single constant transformation matrix.