Degradation of lithium-ion batteries in an electric transport complex

NI Shchurov, SI Dedov, BV Malozyomov, AA Shtang… - Energies, 2021 - mdpi.com
The article provides an overview and comparative analysis of various types of batteries,
including the most modern type—lithium-ion batteries. Currently, lithium-ion batteries (LIB) …

Review on state of charge estimation techniques of lithium-ion batteries: A control-oriented approach

N Ghaeminezhad, Q Ouyang, J Wei, Y Xue… - Journal of Energy …, 2023 - Elsevier
Energy storage has become one of the most critical issues of modern technology. In this
regard, lithium-ion batteries have proven effective as an energy storage option. To optimize …

Current sensor fault diagnosis method based on an improved equivalent circuit battery model

Q Yu, L Dai, R **ong, Z Chen, X Zhang, W Shen - Applied Energy, 2022 - Elsevier
Battery management systems (BMSs) are very important to ensure the safety of electric
vehicles. The normal operation of BMSs is highly dependent on the accuracy of battery …

A sensor fault diagnosis method for a lithium-ion battery pack in electric vehicles

R **ong, Q Yu, W Shen, C Lin… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In electric vehicles, a battery management system highly relies on the measured current,
voltage, and temperature to accurately estimate state of charge (SOC) and state of health …

A novel pseudo-open-circuit voltage modeling method for accurate state-of-charge estimation of LiFePO4 batteries

K Zhang, R **ong, Q Li, C Chen, J Tian, W Shen - Applied Energy, 2023 - Elsevier
LiFePO 4 batteries are widely used in electric vehicles and energy storage due to their high
safety. However, their flat voltage characteristics in the middle state of charge (SOC) range …

Co-estimation of model parameters and state-of-charge for lithium-ion batteries with recursive restricted total least squares and unscented Kalman filter

R Zhu, B Duan, J Zhang, Q Zhang, C Zhang - Applied Energy, 2020 - Elsevier
Due to the flawed sensor and the harsh electromagnetic interference in the electric vehicle,
the measured current and voltage data can be seriously corrupted by noises, which poses a …

A novel intelligent method for fault diagnosis of electric vehicle battery system based on wavelet neural network

L Yao, Y **ao, X Gong, J Hou, X Chen - Journal of Power Sources, 2020 - Elsevier
This paper proposes a method of fault detection of Lithium-ion batteries based on wavelet-
neural for guaranteeing the safety and reliability of electric vehicles (EVS). In actual …

A novel non-experiment-based reconstruction method for the relationship between open-circuit-voltage and state-of-charge/state-of-energy of lithium-ion battery

S Zhang, X Zhang - Electrochimica Acta, 2022 - Elsevier
To date, model-based state-of-charge (SOC)/state-of-energy (SOE) estimation algorithm of
lithium-ion battery has been widely used in real application due to its rational tradeoff …

[HTML][HTML] Battery state-of-charge estimation using machine learning analysis of ultrasonic signatures

E Galiounas, TG Tranter, RE Owen, JB Robinson… - Energy and AI, 2022 - Elsevier
The potential of acoustic signatures to be used for State-of-Charge (SoC) estimation is
demonstrated using artificial neural network regression models. This approach represents a …

Online capacity estimation for lithium-ion batteries through joint estimation method

Q Yu, R **ong, R Yang, MG Pecht - Applied Energy, 2019 - Elsevier
Accurate capacity estimation of lithium-ion batteries is a crucial challenge, especially in the
presence of noise in the acquisition sensors. This paper developed an online capacity …