Comparing Traditional and Machine Learning Models for Battery SOC Calculation
Author:
Affiliation:
1. McMaster University,Department of Mechanical Engineering,Hamilton,ON,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9813698/9813746/09813753.pdf?arnumber=9813753
Reference28 articles.
1. SOC estimation for Li-ion battery using optimum RLS method based on genetic algorithm
2. Online estimation of battery equivalent circuit model parameters and state of charge using decoupled least squares technique;zhang;Energy,2017
3. Feed-forward neural networks
4. Microprocessor Execution Time and Memory Use for Battery State of Charge Estimation Algorithms
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