[HTML][HTML] A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
Lithium-ion batteries are used in a wide range of applications including energy storage
systems, electric transportations, and portable electronic devices. Accurately obtaining the …
systems, electric transportations, and portable electronic devices. Accurately obtaining the …
Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications
Abstract State-of-health (SOH) monitoring of lithium-ion batteries plays a key role in the
reliable and safe operation of battery systems. Influenced by multiple factors, SOH is an …
reliable and safe operation of battery systems. Influenced by multiple factors, SOH is an …
Battery management strategies: An essential review for battery state of health monitoring techniques
SK Pradhan, B Chakraborty - Journal of energy storage, 2022 - Elsevier
To prevent probable battery failures and ensure safety, battery state of health evaluation is a
critical step. This study lays out a coherent literature review on battery health estimation …
critical step. This study lays out a coherent literature review on battery health estimation …
A review of lithium-ion battery state of health estimation and prediction methods
L Yao, S Xu, A Tang, F Zhou, J Hou, Y Xiao… - World Electric Vehicle …, 2021 - mdpi.com
Lithium-ion power batteries have been widely used in transportation due to their advantages
of long life, high specific power, and energy. However, the safety problems caused by the …
of long life, high specific power, and energy. However, the safety problems caused by the …
Applications of artificial neural network based battery management systems: A literature review
Lithium-ion batteries have gained significant prominence in various industries due to their
high energy density compared to other battery technologies. This has led to their …
high energy density compared to other battery technologies. This has led to their …
Assessment and management of health status in full life cycle of echelon utilization for retired power lithium batteries
H Chen, T Zhang, Q Gao, Z Han, Y Jin, L Li… - Journal of Cleaner …, 2022 - Elsevier
In recent years, a significant increase in market share has occurred in the global electric
vehicle industry. These advancements will eventually lead to a large-scale …
vehicle industry. These advancements will eventually lead to a large-scale …
Recovering large-scale battery aging dataset with machine learning
Batteries are crucial for building a clean and sustainable society, and their performance is
highly affected by aging status. Reliable battery health assessment, however, is currently …
highly affected by aging status. Reliable battery health assessment, however, is currently …
State of health estimation of power batteries based on multi-feature fusion models using stacking algorithm
G Liu, X Zhang, Z Liu - Energy, 2022 - Elsevier
The data-driven method is used widely to estimate the state of health (SOH) of the battery,
but the selection of data features and the data training methods affect the estimation results …
but the selection of data features and the data training methods affect the estimation results …
An Immune Genetic Extended Kalman Particle Filter approach on state of charge estimation for lithium-ion battery
J Zhengxin, S Qin, W Yujiang, W Hanlin, G Bingzhao… - Energy, 2021 - Elsevier
In this paper, based on the lithium-ion battery parameter identification by Immune Genetic
Algorithm, An Extended Kalman Particle Filter approach is proposed to estimate the state of …
Algorithm, An Extended Kalman Particle Filter approach is proposed to estimate the state of …
[HTML][HTML] Data-driven state of health modelling—A review of state of the art and reflections on applications for maritime battery systems
Battery systems are becoming an increasingly attractive alternative for powering ocean
going ships, and the number of fully electric or hybrid ships relying on battery power for …
going ships, and the number of fully electric or hybrid ships relying on battery power for …