Online Hybrid Prognostic Health Management Prediction Using a Neural Network and Smooth Particle Filter for Lithium-ion Batteries

Keyphrases

• Battery Capacity Degradation 33%
• Battery Degradation 33%
• Battery Efficiency 33%
• Capacity Degradation 33%
• Convergence Rate 33%
• Data Integration 33%
• Degradation Model 33%
• Degradation Trend 33%
• Empirical Degradation Model 33%
• Hybrid Framework 66%
• Hybrid Method 33%
• Hybrid Prognostics 100%
• Life Cycle Engineering 33%
• Lithium-ion Battery 100%
• Lithium-ion Battery Safety 33%
• Model-based Approach 33%
• Neural Network 100%
• Neural Network Model 33%
• Online Prediction 33%
• Operating Conditions 100%
• Particle Filter 100%
• Particle Filtering 33%
• Prognostics Management 100%
• Real-time Prognostics 33%
• Remaining Life Prediction 66%
• Remaining Useful Life 33%
• Smooth Particle 100%

Engineering

• Battery Capacity 33%
• Convergence Rate 33%
• Degradation Model 66%
• Filtering Algorithm 33%
• Hybrid Approach 33%
• Initial Value 33%
• Life Cycle Assessment 33%
• Life Prediction 66%
• Lithium-Ion Batteries 100%
• Network Model 33%
• Operational Condition 66%
• Particle Filter 100%

Chemical Engineering

• Neural Network 100%