A novel method for SoH prediction of batteries based on stacked LSTM with quick charge data

U Yayan, AT Arslan, H Yucel - Applied Artificial Intelligence, 2021 - Taylor & Francis
The transition to non-fossil fuels brings with its basic challenges in battery technologies. Due
to their efficiency, one of the areas where Li-ion batteries are widely used is electric vehicles …

Reinforcement learning-based plug-in electric vehicle charging with forecasted price

A Chiş, J Lundén, V Koivunen - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper proposes a novel demand response method that aims at reducing the long-term
cost of charging the battery of an individual plug-in electric vehicle (PEV). The problem is …

EV charging behavior analysis using hybrid intelligence for 5G smart grid

Y Shen, W Fang, F Ye, M Kadoch - Electronics, 2020 - mdpi.com
With the development of the Internet of Things (IoT) and the widespread use of electric
vehicles (EV), vehicle-to-grid (V2G) has sparked considerable discussion as an energy …

Ev charging management with ann-based electricity price forecasting

Q Dang, D Wu, B Boulet - 2020 IEEE Transportation …, 2020 - ieeexplore.ieee.org
Battery capacities of EVs have reach up to 100kWh level these days. Fulfill such high power
needs of EVs can be costly, EV users and fleet managers have become more serious and …

Prediction of battery soh by cnn-bilstm network fused with attention mechanism

S Sun, J Sun, Z Wang, Z Zhou, W Cai - Energies, 2022 - mdpi.com
During the use and management of lead–acid batteries, it is very important to carry out
prediction and study of the state of the health (SOH) of the battery. To this end, this paper …

Development of an energy consumption prediction model for battery electric vehicles in real-world driving: A combined approach of short-trip segment division and …

Y Pan, W Fang, W Zhang - Journal of Cleaner Production, 2023 - Elsevier
Due to the excellent energy-saving and environmental protection features, electric vehicles
(EVs) are gaining significant market penetration, especially in densely populated urban …