A novel safety anticipation estimation method for the aerial lithium-ion battery pack based on the real-time detection and filtering

Wang, Shunli; Fernandez, Carlos; Chen, Mingjie; Wang, Lu; Su, Jie

doi:10.1016/j.jclepro.2018.01.236

Cited by 41 publications

(27 citation statements)

References 37 publications

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“…The model-based SOC estimation method has been previously developed [45]. There are some cell-to-cell variations on voltage, capacity and temperature, which will be serious along with the battery aging process [46].…”

Section: 2equivalent Circuit Model Constructionmentioning

confidence: 99%

A comprehensive working state monitoring method for power battery packs considering state of balance and aging correction

Wang

Fernandez

Zou

et al. 2019

Energy

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A comprehensive working state monitoring method is proposed to protect the power lithium-ion battery packs, implying accurate estimation effect but using minimal time demand of self-learning treatment. A novel state of charge estimation model is conducted by using the improved unscented Kalman filtering method, in which the state of balance and aging process correction is considered, guaranteeing the powered battery supply reliability effectively. In order to realize the equilibrium state evaluation among the internal battery cells, the numerical description and evaluation is putting forward, in which the improved variation coefficient is introduced into the iterative calculation process. The intermittent measurement and real-time calibration calculation process is applied to characterize the capacity change of the battery pack towards the cycling maintenance number, according to which the aging process impact correction can be investigated. This approach is different to the traditional methods by considering the multi-input parameters with real-time correction, in which every calculation step is investigated to realize the working state estimation by using the synthesis algorithm. The state of charge estimation error is 1.83%, providing the technical support for the reliable power supply application of the lithium-ion battery packs.

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Section: 2equivalent Circuit Model Constructionmentioning

confidence: 99%

A comprehensive working state monitoring method for power battery packs considering state of balance and aging correction

Wang

Fernandez

Zou

et al. 2019

Energy

Self Cite

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“…However, the battery degradation with operation process would lead to capacity loss and accident-proneness. Therefore, knowledge of the present battery health status is essential to avoid battery running risk and ensure the battery reliability and safety [3,4]. Among these problems, accurately online monitoring battery external characteristics and evaluating state of health (SOH) are huge challenging issues of the battery management system (BMS).…”

Section: Introductionmentioning

confidence: 99%

State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression

Yuan

et al. 2020

Energy

315

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“…At the same time, in order to reflect accurately the changing rule of battery, researchers have successively developed various resistance-capacitance (RC) equivalent circuit models. [14][15][16][17][18][19][20][21][22][23][24] More recent study in Wu et al 25 fully considers the difference of internal resistance between charging/ discharging and then improves the Thevenin model. An nRC equivalent circuit model is proposed in Lai et al 26 The high-order RC model is robust to the variations of model parameters and sensor errors.…”

Section: Introductionmentioning

confidence: 99%

An equivalent circuit model analysis for the lithium-ion battery pack in pure electric vehicles

Lin

Wang

et al. 2019

Measurement and Control

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According to the demand of vehicle lithium-ion battery pack, the splice equivalent circuit model is constructed. First, a joint experiment of intermittent discharge and hybrid power pulse characterization, basis of the requirements of parameter identification for the model, is designed to identify the parameters. Study shows that it can identify the parameters. Second, the splice equivalent circuit model of vehicle lithium-ion battery pack is simulated by MATLAB/Simulink, which shows the model is feasible to describe the vehicle lithium-ion battery pack. The simulation error of ohmic internal resistance R 0 should be less than 0.05 mO. Study suggests that the vehicle lithium-ion battery pack has a stable discharge period within the state-of-charge range of [20%, 80%]. However, when stage of charge is below 20%, vehicle lithium-ion battery pack is no longer stable and the parameters of the splice equivalent circuit model change dramatically.

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A novel safety anticipation estimation method for the aerial lithium-ion battery pack based on the real-time detection and filtering

Abstract: A novel safety anticipation estimation method for the aerial lithium-ion battery pack based on the real-time detection and filtering.

Cited by 41 publications

References 37 publications

A comprehensive working state monitoring method for power battery packs considering state of balance and aging correction

A comprehensive working state monitoring method for power battery packs considering state of balance and aging correction

State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression

An equivalent circuit model analysis for the lithium-ion battery pack in pure electric vehicles

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