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Model-based adaptive joint estimation of the state of charge and capacity for lithium–ion batteries in their entire lifespan
(MDPI, 2020-01-01)
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). In this paper, a co-estimation scheme of ...
State of Health Estimation for Lithium-Ion Batteries Based on Healthy Features and Long Short-Term Memory
(IEEE, 2020-01-01)
Precise estimation of state of health (SOH) are of great importance for proper operation of lithium-ion batteries equipped in electric vehicles. For real applications, it is however difficult to estimate battery SOH due ...
State of Health Estimation for Lithium-Ion Batteries Based on Elman Neural Network
(DEStech Publications, 2019-10-31)
State of charge prediction framework for lithium-ion batteries incorporating long short-term memory network and transfer learning
(Elsevier, 2021-05-01)
This study investigates accurate state of charge estimation algorithms for lithium-ion batteries based on the long short-term memory recurrent neural network and transfer learning. The long short-term memory network with ...
Synthetic state of charge estimation for lithium-ion batteries based on long short-term memory network modeling and adaptive H-Infinity filter
(2021-08-01)
Accurate state of charge estimation is essential to improve operation safety and service life of lithium-ion batteries. This paper proposes a synthetic state of charge estimation method for lithium-ion batteries based on ...
State of charge estimation framework for lithium‐ion batteries based on square root cubature Kalman filter under wide operation temperature range
(Wiley, 2020-11-11)
Due to the significant influence of temperature on battery charging and discharging performance, exact evaluation of state of charge (SOC) under complex temperature environment becomes increasingly important. This paper ...