Our approach relies on the use of a Convolutional Neural Network (CNN), which takes into account not only voltage, current, and state of charge (SoC), but also ...

In this study, a new AI-based model has been proposed for electric vehicle battery state of health estimation.

Jun 21, 2024 · Enhancing Model Robustness in Battery Health Prediction through Advanced Input Features ... battery degradation using EIS-based robust features.

Jun 27, 2024 · This study developed a Hybrid-grained Evolving Aware Graph (HEAG) model for enhanced prediction of lithium-ion battery health.

Sep 1, 2024 · This study a novel approach using a multibranch vision transformer model to address early stage lifespan prediction issues.

Nov 28, 2024 · This research innovatively combines the RFE method with the DBiLSTM model to improve the accuracy and robustness of SOH estimation.

3 days ago · Precise RUL prediction allows proactive measures to prevent downtime and financial losses, underscoring the importance of accurate RUL ...

This advanced approach not only boosts estimation accuracy but also enhances the robustness of Battery Management Systems, contributing to extended battery ...

Enhancing Model Robustness in Battery Health Prediction through Advanced Input Features · Battery internal resistance and state of health estimation based on ...

As a result, accurate monitoring and forecasting of the SOH of lithium batteries are vital for improving battery management systems and prolonging battery life ...