Decoding battery aging in fast-charging electric vehicles: An advanced SOH estimation framework using real-world field data

Keyphrases

• Estimation Framework 100%
• Fast Charging 100%
• Battery Aging 100%
• Health Diagnosis 100%
• Root Mean Square Error 66%
• Operating Conditions 33%
• Aging 33%
• Health Status 33%
• Accurate Estimation 33%
• Cycle-to-cycle 33%
• Driving Habits 33%
• Cellular Level 33%
• Maximum Absolute Errors 33%
• User Behavior 33%
• Constant Current 33%
• Voltage Control 33%
• Absolute Error 33%
• Driving Conditions 33%
• Vehicle-based 33%
• Data Window 33%
• Battery Management System 33%
• Charging Rate 33%
• Battery Pack 33%
• Battery Capacity Degradation 33%
• Machine Learning Models 33%
• Electric Vehicle Charging 33%
• Charging Behavior 33%
• Vehicle Data 33%
• Hierarchical Features 33%
• Vehicle-to-vehicle 33%
• In-vehicle 33%
• Feature Engineering 33%
• Electric Vehicle Technology 33%
• Reliable Estimation 33%

Engineering

• Field Data 100%
• State of Health 100%
• Electric Vehicle 100%
• Root Mean Square Error 50%
• Engineering 25%
• Battery Pack 25%
• Battery Capacity 25%
• Data Window 25%
• Battery Management System 25%
• Absolute Error 25%
• Learning System 25%