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AI-Driven Physics-Based Onboard Charger for Optimised Battery Management
Khursheed Sabeel
,
Maher Al-Greer
, Chitra A
,
Maria Jenisha Charles Thanasingh Packiaraj
SCEDT Engineering
Centre for Sustainable Engineering
School of Computing, Engineering & Digital Technologies
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Engineering
Adaptability
50%
Adaptive Control
50%
Artificial Intelligence
100%
Battery Life
50%
Charge State
50%
Control System
50%
Electric Vehicle
50%
Energy Application
50%
Energy Dissipation
50%
Energy Storage System
50%
Lithium Iron Phosphate
50%
Neural Network Training
50%
Operational Requirement
50%
Predictive Control
50%
Renewable Energy
50%
State of Charge
50%
State of Health
50%
Systems Performance
50%
Physics
Artificial Intelligence
100%
Chemistry
66%
Dynamic Control
33%
Energy Storage
33%
Neural Network
33%
Physics
100%
Renewable Energy
33%
Chemical Engineering
Artificial Intelligence
100%
Neural Network
50%
Renewable Energy
50%
Keyphrases
Physics Data
50%