Results 121 to 130 of about 669,834 (184)

Experimental data for electrochemical impedance characterization of Li-ion batteries under varying state of charge, current amplitude and rest time. [PDF]

Data Brief
Balasubramanian B, Pillai P, Balasingam B.   +2 more
europepmc   +1 more source

Impact of Lithium-Ion Battery State of Charge on In Situ QAM-Based Power Line Communication. [PDF]

Sensors (Basel), 2022
Koshkouei MJ, Kampert E, Moore AD, Higgins MD.   +3 more
europepmc   +1 more source

Surface Temperature Assisted State of Charge Estimation for Retired Power Batteries. [PDF]

Sensors (Basel)
Xu L, Han W, Dong J, Chen K, Li Y, Geng G.   +5 more
europepmc   +1 more source

A Dual-Input Neural Network for Online State-of-Charge Estimation of the Lithium-Ion Battery throughout Its Lifetime. [PDF]

Materials (Basel), 2022
Qian C, Xu B, Xia Q, Ren Y, Yang D, Wang Z.   +5 more
europepmc   +1 more source

A quieter state of charge and ultra-low-noise of the collective current in quasi-1D charge-density-wave nanowires. [PDF]

Nat Commun
Ghosh S, Sesing N, Nataj ZE, Salguero T, Rumyantsev S, Lake RK, Balandin AA.   +6 more
europepmc   +1 more source

State of Charge Estimation of Lithium-Ion Batteries Using Stacked Encoder-Decoder Bi-Directional LSTM for EV and HEV Applications. [PDF]

Micromachines (Basel), 2022
Terala PK, Ogundana AS, Foo SY, Amarasinghe MY, Zang H.   +4 more
europepmc   +1 more source

Temporal-aware transformer networks for state of charge multi-output prediction in unmanned aerial vehicle lithium-ion batteries. [PDF]

Sci Rep
Hua M, Xu M, Li J, Zhao X, Wang Q, Ni X, Wu Y.   +6 more
europepmc   +1 more source

Estimation of Online State of Charge and State of Health Based on Neural Network Model Banks Using Lithium Batteries. [PDF]

Sensors (Basel), 2022
Lee JH, Lee IS.
europepmc   +1 more source

State-of-Charge Estimation of Lithium-Ion Batteries Based on the CNN-Bi-LSTM-AM Model Under Low-Temperature Environments. [PDF]

Sensors (Basel)
Li R, Hao Y, Zhang M, Lv Y.
europepmc   +1 more source

Monitoring state of charge and volume expansion in lithium-ion batteries: an approach using surface mounted thin-film graphene sensors. [PDF]

RSC Adv, 2023
Bree G, Hao H, Stoeva Z, John Low CT.
europepmc   +1 more source