Feedback-Based Fault-Tolerant and Health-Adaptive Optimal Charging of Batteries: Article No. 121187

Sara Sattarzadeh, Shanthan Padisala, Ying Shi, Partha Mishra, Kandler Smith, Satadru Dey

Research output: Contribution to journalArticlepeer-review

1 Scopus Citations

Abstract

The key technology barriers that hinder the growth of Electric Vehicles (EVs) are long charging time, the shorter life-time of EV batteries, and battery safety. Specifically, EV charging protocols have significant effects on battery lifetime and safety. If not charged properly, the battery could end up with shorter life, and more importantly, improper charging can cause battery faults leading to catastrophic failures. To overcome these barriers, we propose a closed-loop feedback based approach, that enables real-time optimal fast charging protocol adaptation to battery health and possess active diagnostic capabilities in the sense that, during charging, it detects real-time faults and takes corrective action to mitigate such fault effects. We utilize battery electrical-thermal model, explicit battery capacity and power fade aging models, and thermal fault model to capture battery behavior. In conjunction with the models, we adopt linear quadratic optimal control techniques to realize the feedback-based control algorithm. Simulation studies are presented to illustrate the effectiveness of the proposed scheme.
Original languageAmerican English
Number of pages12
JournalApplied Energy
Volume343
DOIs
StatePublished - 2023

NREL Publication Number

  • NREL/JA-5700-86338

Keywords

  • batteries
  • battery health
  • fault tolerance
  • optimal fast charging

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