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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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Keyphrases
Charge-discharge Control
50%
Charging Efficiency
50%
Intelligent Charger
50%
Battery Behavior
50%
Lithium Iron Phosphate
50%
Battery Parameters
50%
Dynamic Control System
50%
Stable Convergence
50%
Charging Parameters
50%
Thermal Conditions
50%
Chemical Engineering
Artificial Intelligence
100%
Neural Network
50%
Material Science
Control Dynamics
100%
Engineering
Lithium Iron Phosphate
50%
Neural Network Training
50%
Physics
Renewable Energy
33%
Dynamic Control
33%
Iron
33%