Random forest regression for online capacity estimation of lithium-ion batteries
Sign Up to like & getrecommendations! Published in 2018 at "Applied Energy"
DOI: 10.1016/j.apenergy.2018.09.182
Abstract: Machine-learning based methods have been widely used for battery health state monitoring. However, the existing studies require sophisticated data processing for feature extraction, thereby complicating the implementation in battery management systems. This paper proposes a… read more here.
Keywords: capacity; battery; random forest; capacity estimation ... See more keywords
An ensemble prognostic method for lithium-ion battery capacity estimation based on time-varying weight allocation
Sign Up to like & getrecommendations! Published in 2020 at "Applied Energy"
DOI: 10.1016/j.apenergy.2020.114817
Abstract: Abstract Capacity estimation is of great significance to help assess the performance degradation of lithium-ion batteries, so as to take actions to extend their lifetime. Traditional capacity estimation methods for Lithium-ion batteries are usually based… read more here.
Keywords: capacity estimation; ensemble prognostic; capacity; lithium ion ... See more keywords
A deep learning method for online capacity estimation of lithium-ion batteries
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Energy Storage"
DOI: 10.1016/j.est.2019.100817
Abstract: Abstract The past two decades have seen an increasing usage of lithium-ion (Li-ion) rechargeable batteries in diverse applications including consumer electronics, power backup, and grid-scale energy storage. To guarantee safe and reliable operation of a… read more here.
Keywords: learning method; ion; capacity; deep learning ... See more keywords
A fast capacity estimation method based on open circuit voltage estimation for LiNixCoyMn1-x-y battery assessing in electric vehicles
Sign Up to like & getrecommendations! Published in 2020 at "Journal of energy storage"
DOI: 10.1016/j.est.2020.101830
Abstract: Abstract With the widespread popularity of electric vehicles (EV), effective assessment for retired EVs has become increasingly critical. Unlike traditional internal combustion vehicles, for EV, batteries account for a large proportion of the entire vehicle… read more here.
Keywords: estimation; capacity; estimation method; battery ... See more keywords
A Novel Capacity Estimation Method for the Lithium Batteries Using the Enhanced Coulomb Counting Method with Kalman Filtering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3165639
Abstract: As the use of energy storage systems (ESSs) and electric vehicles (EVs) increases, the importance of lithium-ion (Li-ion) batteries is also growing. The accurate capacity estimation of a battery is useful for detecting the degradation… read more here.
Keywords: capacity estimation; capacity; battery; novel capacity ... See more keywords
A Novel Capacity Estimation Method for Li-Ion Battery Cell by Applying Ensemble Learning to Extremely Sparse Significant Points
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3205608
Abstract: Accurate capacity estimation is important for safe operation of battery. Existing advanced researches heavily rely on feature engineering to model capacity degradation, where features are difficult to design and extract. In this paper, a novel… read more here.
Keywords: ensemble learning; capacity estimation; significant points; capacity ... See more keywords
Data-Driven Capacity Estimation of Li-Ion Batteries Using Constant Current Charging at Various Ambient Temperatures
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3234301
Abstract: The use of mobile devices, such as drones and electric vehicles, has rapidly increased in recent years. This has necessitated estimating the capacity of lithium-ion batteries in various situations. In this study, a capacity estimation… read more here.
Keywords: capacity estimation; ion batteries; capacity; constant current ... See more keywords
Benchmarking Neural Capacity Estimation: Viability and Reliability
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2023.3255251
Abstract: Recently, several methods have been proposed for estimating the mutual information from sample data using deep neural networks. This approach is referred to as (). s differ from other approaches in the literature as they… read more here.
Keywords: mutual information; capacity; capacity estimation; performance ... See more keywords
Fault Identification and Quantitative Diagnosis Method for Series-Connected Lithium-Ion Battery Packs Based on Capacity Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3068553
Abstract: Internal short circuit is considered as one of the general causes that may lead to battery thermal runaway. The capacity of cells ages with the effect of working conditions. Hence, both micro-short circuit (MSC) and… read more here.
Keywords: method; battery; capacity; fault ... See more keywords
A Battery Capacity Estimation Framework Combining Hybrid Deep Neural Network and Regional Capacity Calculation Based on Real-World Operating Data
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3229350
Abstract: Efficient battery capacity estimation is of utmost importance for safe and reliable operations of electric vehicles (EVs). This article proposes a battery capacity estimation framework based on real-world EV operating data collected from forty electric… read more here.
Keywords: neural network; battery capacity; capacity estimation; capacity ... See more keywords
Data-Driven Tire Capacity Estimation With Experimental Verification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3177895
Abstract: Tire states and capacity monitoring is critical for vehicle and wheel stabilization controls in automated driving and active safety systems. Tire capacity, which represents the performance margin of tire forces from its limits, determines the… read more here.
Keywords: capacity estimation; capacity; tire; tire capacity ... See more keywords