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[HTML][HTML] Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities
Transportation electrification is a promising solution to meet the ever-rising energy demand
and realize sustainable development. Lithium-ion batteries, being the most predominant …
and realize sustainable development. Lithium-ion batteries, being the most predominant …
Battery prognostics and health management from a machine learning perspective
Transportation electrification is gaining prominence as a significant pathway for reducing
emissions and enhancing environmental sustainability. Central to this shift are lithium-ion …
emissions and enhancing environmental sustainability. Central to this shift are lithium-ion …
Lithium-ion battery capacity estimation—A pruned convolutional neural network approach assisted with transfer learning
Online battery capacity estimation is a critical task for battery management system to
maintain the battery performance and cycling life in electric vehicles and grid energy storage …
maintain the battery performance and cycling life in electric vehicles and grid energy storage …
Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis
Accurate state of health estimation and end of life prediction is critical for safe and reliable
operation of lithium-ion batteries. This paper proposes a deep Gaussian process algorithm …
operation of lithium-ion batteries. This paper proposes a deep Gaussian process algorithm …
Embedded distributed temperature sensing enabled multistate joint observation of smart lithium-ion battery
Accurate monitoring of the internal statuses is highly valuable for the management of the
lithium-ion battery (LIB). This article proposes a thermal-model-based method for multistate …
lithium-ion battery (LIB). This article proposes a thermal-model-based method for multistate …
[HTML][HTML] A comparative review of lead-acid, lithium-ion and ultra-capacitor technologies and their degradation mechanisms
A Townsend, R Gouws - Energies, 2022 - mdpi.com
As renewable energy sources, such as solar systems, are becoming more popular, the focus
is moving into more effective utilization of these energy sources and harvesting more energy …
is moving into more effective utilization of these energy sources and harvesting more energy …
Estimation of lithium-ion batteries state-condition in electric vehicle applications: issues and state of the art
Lithium-ion batteries are the most used these days for charging electric vehicles (EV). It is
important to study the aging of batteries because the deterioration of their characteristics …
important to study the aging of batteries because the deterioration of their characteristics …
A flexible deep convolutional neural network coupled with progressive training framework for online capacity estimation of lithium-ion batteries
Q Xue, J Li, Y **ao, Z Chai, Z Liu, J Chen - Journal of Cleaner Production, 2023 - Elsevier
Abstract Machine learning-based methods have shown great application prospects on the
capacity estimation of lithium-ion battery. However, most of extant approaches require …
capacity estimation of lithium-ion battery. However, most of extant approaches require …
An indirect state-of-health estimation method based on improved genetic and back propagation for online lithium-ion battery used in electric vehicles
Lithium-ion battery state of health (SOH) estimation technology is an important part of the
design of a battery monitoring system (BMS) for electric vehicles. People often use battery …
design of a battery monitoring system (BMS) for electric vehicles. People often use battery …
Prognostics of lithium-ion batteries based on capacity regeneration analysis and long short-term memory network
Y Cui, Y Chen - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
The accurate prognostics of the state-of-health (SOH) prediction of lithium-ion batteries are
significant for manufacturers and consumers to determine the failure and optimize the usage …
significant for manufacturers and consumers to determine the failure and optimize the usage …