Closed-loop optimization of fast-charging protocols for batteries with machine learning.
Peter M. AttiaAditya GroverNorman JinKristen A. SeversonTodor M. MarkovYang-Hung LiaoMichael H. ChenBryan CheongNicholas PerkinsZi YangPatrick K. HerringMuratahan AykolStephen J. HarrisRichard D. BraatzStefano ErmonWilliam C. ChuehPublished in: Nat. (2020)
Keyphrases
- trajectory tracking
- closed loop
- machine learning
- open loop
- control system
- control law
- feedback control
- control scheme
- electric vehicles
- parameter identification
- learning algorithm
- pid controller
- asymptotic stability
- force control
- optimization algorithm
- feedback controller
- control loop
- computational intelligence
- robot manipulators
- reinforcement learning
- disturbance rejection
- tracking error
- external disturbances
- induction motor
- adaptive fuzzy
- inverted pendulum
- real time
- evolutionary algorithm
- genetic algorithm
- neural network