The recent past witnessed rapid strides in the development of lithium-based rechargeable batteries. Here, some key technological developments in intercalation, conversion, and alloy …
In recent years, the rapid evolution of transportation electrification has been propelled by the widespread adoption of lithium-ion batteries (LIBs) as the primary energy storage solution …
Abstract Machine learning, in the form of a fully connected feedforward network, is applied to predict the state of charge (SoC) of lithium ion batteries injected with a series of pulses …
JCD Mushini, K Rana, MS Aspalli - International Journal of Power …, 2022 - academia.edu
Electric vehicles (EVs) are the emerging technologies in the transport sector around the world. EV runs using an electric motor with electricity which is stored in Li-ion batteries …
SV Bhagavatula, VRB Yellamraju… - E3S Web of …, 2020 - e3s-conferences.org
The development of electric vehicles has bought a great revolution in the field of battery management as it deals with the health of the battery and also the protection of the battery …
The topics covered in this thesis work are related to the field of electric vehicles (EVs) optimization. Thanks to their attractive properties, the majority of EVs adopt lithium-ion …
Abstract State of Charge (SoC) estimation of lithium-ion (Li-ion) batteries is an essential component for electric vehicles where SoC ensures that the batteries enjoy safe operations …
Z Ma, R Arteaga, M Wang… - 2020 IEEE 2nd …, 2020 - ieeexplore.ieee.org
In this paper, we offer a possible approach to estimating motor parameters: Machine Learning. We begin with a simulation of a Permanent Magnet Synchronous Motor (PMSM) …