Input Excitation Optimization for Estimating Battery Electrochemical Parameters using Reinforcement Learning
Author:
Affiliation:
1. University of California, Davis,Dept. of Mechanical and Aerospace Engineering,Davis,CA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10003263/10003224/10003427.pdf?arnumber=10003427
Reference20 articles.
1. Battery State Estimation for a Single Particle Model With Electrolyte Dynamics
2. Analytical derivation and analysis of parameter sensitivity for battery electrochemical dynamics
3. Porosity and phase fraction evolution with aging in lithium iron phosphate battery cathodes
4. State of Charge Estimation Error due to Parameter Mismatch in a Generalized Explicit Lithium Ion Battery Model
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1. Excitation Optimization for Estimating Battery Health Parameters using Reinforcement Learning considering Information Content and Bias;2023 American Control Conference (ACC);2023-05-31
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