  Dynamic wireless charging (DWC) is an emerging technology that allows
electric vehicles (EVs) to be wirelessly charged while in motion. It is gaining
significant momentum as it can potentially address the range limitation issue
for EVs. However, due to significant power loss caused by wireless power
transfer, improving charging efficiency remains as a major challenge for DWC
systems. This paper presents the first LSTM-based vehicle motion control system
for DWC designed to maximize charging efficiency. The dynamics of the
electromagnetic field generated by the transmitter coils of a DWC system are
modeled based on a multi-layer LSTM. The LSTM model is used to make a
prediction of the lateral position where the electromagnetic strength is
expected to be maximal and to control the EV motion accordingly to optimize
charging efficiency. Simulations were conducted to demonstrate that our
LSTM-based approach achieves by up to 162.3% higher charging efficiency
compared with state-of-the-art vehicle motion control systems focused on
keeping an EV in the center of lane.
