Journal ArticleDOI
Incremental capacity analysis based adaptive capacity estimation for lithium-ion battery considering charging condition
Bo Jiang,Haifeng Dai,Xuezhe Wei +2 more
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TLDR
A rapid acquisition method of the incremental capacity (IC) curve is established, then an adaptive capacity estimation framework based on ICA considering the charging condition is proposed, and the validation results show the effectiveness of the proposed correction method, which provides high accuracy and robustness.About:
This article is published in Applied Energy.The article was published on 2020-07-01. It has received 102 citations till now. The article focuses on the topics: State of charge & Battery (electricity).read more
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Journal ArticleDOI
Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications
TL;DR: The existing characteristic parameters in defining battery SOH at cell-level and pack-level are reviewed, and some suggestions for SOH definitions are proposed, and the impact of external influencing factors on battery degradation is introduced to lay a foundation for Soh estimation.
Journal ArticleDOI
Voltage-temperature health feature extraction to improve prognostics and health management of lithium-ion batteries
TL;DR: Using the proposed method, state of health and remaining useful life of lithium-ion batteries can be estimated and predicted with uncertainty measurements and root mean square error is smaller than 1% in all capacity estimation and relative RMSE is around 5% for RUL prediction, which provide higher accuracies than the existing methods.
Journal ArticleDOI
A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries
TL;DR: In this paper , a machine learning technique using Gaussian process regression is adopted to estimate battery state of health (SOH) estimation, which is a critical but challenging demand in advanced battery management technologies.
Journal ArticleDOI
A novel online method for predicting the remaining useful life of lithium-ion batteries considering random variable discharge current
TL;DR: A novel two-stage Wiener process model is established to describe the differences in the degradation characteristics of lithium-ion batteries at different stages and the unscented particle filtering algorithm is introduced so that all parameters in the model and the remaining useful life distribution are adaptively updated with the latest on-line measurements.
Journal ArticleDOI
Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles
Lidiya Komsiyska,Tobias Buchberger,Simon Diehl,Moritz Ehrensberger,Christian Hanzl,Christoph Hartmann,Markus Hölzle,Jan Kleiner,Meinert Lewerenz,Bernhard Liebhart,Michael Schmid,Dominik Schneider,Sascha Speer,Julia Stöttner,Christoph Terbrack,Michael Hinterberger,Christian Endisch +16 more
TL;DR: This review provides an overview of new strategies to address the current challenges of automotive battery systems: Intelligent Battery Systems and touches on sensing, battery topologies and management, switching elements, communication architecture, and impact on the single-cell.
References
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Journal ArticleDOI
A review on the key issues for lithium-ion battery management in electric vehicles
TL;DR: In this article, a brief introduction to the composition of the battery management system (BMS) and its key issues such as battery cell voltage measurement, battery states estimation, battery uniformity and equalization, battery fault diagnosis and so on, is given.
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A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
TL;DR: In this article, a comprehensive review of the battery state of charge estimation and its management system for the sustainable future electric vehicles (EVs) applications is presented, which can guarantee a reliable and safe operation and assess the battery SOC.
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Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
TL;DR: In this paper, the methods for monitoring the battery state of charge, capacity, impedance parameters, available power, state of health, and remaining useful life are reviewed with the focus on elaboration of their strengths and weaknesses for the use in on-line BMS applications.
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Synthesize battery degradation modes via a diagnostic and prognostic model
TL;DR: In this paper, a mechanistic model that can enable battery diagnosis and prognosis is presented, which can simulate various "what-if" scenarios of battery degradation modes via a synthetic approach based on specific electrode behavior with proper adjustment of the loading ratio and the extent of degradation in and between the two electrodes.
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On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression
TL;DR: In this paper, Li-ion battery capacity fading is identified through incremental capacity analysis (ICA) through analysis of battery aging cycle data, and several algorithms to extract this signature are developed and evaluated for on-board SOH monitoring.