1. Why Choose SVR for SOC Prediction? SOC prediction is essentially a regression problem — predicting the remaining battery percentage based on features such as voltage, current, temperature, and time. Support Vector Regression (SVR) performs excellently in small sample, nonlinear problems, making it particularly suitable for batteries, which are influenced by multiple factors and have … Read more
In a Battery Management System (BMS), the State of Charge (SOC) is a key indicator that describes the remaining battery capacity. Accurately predicting SOC is crucial for battery efficiency and safety. This article will introduce how to implement precise SOC prediction using the Support Vector Regression (SVR) model, showcasing the entire process from data processing … Read more
Click Below Title to Learn More About the Conference Conference Notice | EITRT 2019 Conference Registration Long press to recognize the QR code on the left, log in to the registration website (first register as a website member, then submit registration information) Conference WeChat ID Abstract Researchers Fan Xingming, Wang Chao, Zhang Xin, Gao Linlin, … Read more