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Machine Learning for EV Battery SOC Estimation by mrixmandj194 is a document available to read on EtoBox.

What is Machine Learning for EV Battery SOC Estimation about?

This document presents an advanced State-of-Charge (SOC) estimator for lithium-ion batteries in electric vehicles, utilizing a genetic algorithm-based fuzzy C-means clustering technique for data partitioning and a recursive least-squares algorithm for parameter extraction. The proposed model aims to improve accuracy and resilience in SOC estimation, outperforming conventional methods like Coulomb counting and Kalman filtering. Experimental results validate the effectiveness of the machine learning approach

Author

mrixmandj194

Language

EN