Comprehensive Review of Machine Learning, Deep Learning, and Digital Twin Data-Driven Approaches in Battery Health Prediction of Electric Vehicles
Author:
Affiliation:
1. School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10477658.pdf?arnumber=10477658
Reference52 articles.
1. A Practical Data-Driven Battery State-of-Health Estimation for Electric Vehicles
2. A state of health estimation method for electric vehicle Li-ion batteries using GA-PSO-SVR
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