Results 261 to 270 of about 3,960,226 (278)

Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

IEEE transactions on industrial electronics (1982. Print), 2018
State of charge (SOC) estimation is critical to the safe and reliable operation of Li-ion battery packs, which nowadays are becoming increasingly used in electric vehicles (EVs), Hybrid EVs, unmanned aerial vehicles, and smart grid systems.
Ephrem Chemali, P. Kollmeyer, Matthias Preindl, R. Ahmed, A. Emadi   +4 more
semanticscholar   +1 more source

State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach

Journal of Power Sources, 2018
Accurate State of Charge (SOC) estimation is crucial to ensure the safe and reliable operation of Li-ion batteries, which are increasingly being used in Electric Vehicles (EV), grid-tied load-leveling applications as well as manned and unmanned aerial ...
Ephrem Chemali, P. Kollmeyer, Matthias Preindl, A. Emadi   +3 more
semanticscholar   +1 more source

State of charge estimation of an electric vehicle's battery using tiny neural network embedded on small microcontroller units

International Journal of Energy Research, 2022
The latest breakthroughs in artificial intelligence resulted in their adoption in the electric vehicle's battery management systems. Simultaneously, the remarkable increase in the number of embedded systems in electric vehicles (EVs) has led to the ...
Yahia Mazzi, Hicham Ben Sassi, A. Gaga, F. Errahimi   +3 more
semanticscholar   +1 more source

Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends

Journal of Cleaner Production, 2020
Global carbon emissions caused by fossil fuels and diesel-based vehicles have urged the necessity to move toward the development of electric vehicles and related battery storage systems.
M. S. Lipu, M. Hannan, A. Hussain, A. Ayob, M. Saad, T. F. Karim, D. N. How   +6 more
semanticscholar   +1 more source

Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries

Renewable & Sustainable Energy Reviews, 2019
Carbon impression and the growing reliance on fossil fuels are two unique concerns for world emission regulatory agencies. These issues have placed electric vehicles (EVs) powered by lithium-ion batteries (LIBs) on the forefront as alternative vehicles ...
P. Shrivastava, T. Soon, Moh Yamani Idna Idris, S. Mekhilef   +3 more
semanticscholar   +1 more source

Remaining useful life prediction of lithium-ion battery based on improved cuckoo search particle filter and a novel state of charge estimation method

Journal of Power Sources, 2020
For battery management system, accurate estimation of state of charge (SOC) and state of health (SOH), as well as prediction of remaining useful life (RUL) are of great significance. Herein, backward smoothing square root cubature Kalman filter (BS-SRCKF)
Xianghui Qiu, Weixiong Wu, Shuangfeng Wang   +2 more
semanticscholar   +1 more source

Co-estimation of lithium-ion battery state of charge and state of temperature based on a hybrid electrochemical-thermal-neural-network model

, 2020
Battery modeling and state estimation are critical to the battery safety and vehicle driving range. Currently, electrochemical mechanism based models require huge computation effort for solving partial differential equations, equivalent circuit models do
F. Feng, Sangli Teng, Kailong Liu, Jiale Xie, Yi Xie, Bo Liu, Liang Kexin   +6 more
semanticscholar   +1 more source

State of charge estimation of lithium-ion batteries using hybrid autoencoder and Long Short Term Memory neural networks

Journal of Power Sources, 2020
The state of charge (SOC) of a battery indicates its useable capacity. In the case of lithium-ion batteries, an accurate estimate improves their performance. With the recent tendency in the increased use of lithium-ion batteries in electric vehicles, the
Mohammad Fasahat, M. Manthouri
semanticscholar   +1 more source

Co-estimation of state of charge and state of power for lithium-ion batteries based on fractional variable-order model

Journal of Cleaner Production, 2020
This paper proposes a co-estimation scheme of the state of charge (SOC) and the state of power (SOP) for lithium-ion batteries in electric vehicles based on a fractional-order model (FOM).
X. Lai, He Long, Wang Shuyu, Long Zhou, Yinfan Zhang, T. Sun, Yuejiu Zheng   +6 more
semanticscholar   +1 more source

Data-Driven Methods for Predicting the State of Health, State of Charge, and Remaining Useful Life of Li-Ion Batteries: A Comprehensive Review

International Journal of Precision Engineering and Manufacturing, 2023
Eunsong Kim, Minseon Kim, Juo Kim, Joonchul Kim, Jung-Hwan Park, Kyoung-Tak Kim, Joung-Hu Park, Taesic Kim, K. Min   +8 more
semanticscholar   +1 more source