Accurate and efficient remaining useful life prediction of batteries enabled by physics-informed machine learning

Engineering

• Life Prediction 100%
• Physics-Informed Machine Learning 100%
• Remaining Useful Life 100%
• Lithium-Ion Batteries 20%
• Degradation Mechanism 20%
• Safe Operation 20%
• Battery Charging 20%
• Accurate Prediction 20%
• Model Parameter 20%
• Reliable Operation 20%
• Prediction Performance 20%
• Measured Signal 20%
• Root-Mean-Squared Error 20%
• Domain Knowledge 20%
• Relative Error 20%
• Deep Learning Method 20%
• Deep Neural Network 20%
• Interpretability 20%

Chemical Engineering

• Learning System 100%
• Deep Learning Method 100%
• Deep Neural Network 100%

Keyphrases

• Partially Charged 25%