State estimation for advanced battery management: Key challenges and future trends

Xiaosong Hu*, Fei Feng, Kailong Liu, Lei Zhang, J. Xie, Bo Liu

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

609 Citations (Scopus)

Abstract

Batteries are presently pervasive in portable electronics, electrified vehicles, and renewable energy storage. These indispensable engineering applications are all safety-critical and energy efficiency-demanding such that batteries must be meticulously monitored and manipulated, where effectively estimating the internal battery states is a key enabler. The primary goal of this paper is to present a concise, understandable overview of existing methods, key issues, technical challenges, and future trends of the battery state estimation domain. More specifically, for the first time, the state of the art in State of Charge (SOC), State of Energy (SOE), State of Health (SOH), State of Power (SOP), State of Temperature (SOT), and State of Safety (SOS) estimation is all elucidated in a tutorial yet systematical way, along with existing issues exposed. In addition, from six different viewpoints, some future important research opportunities and evolving trends of this prosperous field are disclosed, in order to stimulate more technologically innovative breakthroughs in SOC/SOE/SOH/SOP/SOT/SOS estimation.

Original languageEnglish
Article number109334
JournalRenewable and Sustainable Energy Reviews
Volume114
DOIs
Publication statusPublished - Oct 2019

Keywords

  • Batteries
  • Battery management
  • Electric vehicles
  • Energy storage
  • State estimation
  • Sustainable energy

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