EV-PINN uses a PINN with a physics loss and a Runge-Kutta network to predict EV battery power and energy from speed and time, with fitted vehicle parameters, validated on two Tesla drives.
Physics -informed Neural Networks-based Model Predictive Control for Multi -link Manipulators,
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EV-PINN: A Physics-Informed Neural Network for Predicting Electric Vehicle Dynamics
EV-PINN uses a PINN with a physics loss and a Runge-Kutta network to predict EV battery power and energy from speed and time, with fitted vehicle parameters, validated on two Tesla drives.