Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles

Zou, Yuan; Hu, Xiaosong; Ma, Hongmin; Li, Shengbo Eben

doi:10.1016/j.jpowsour.2014.09.146

Cited by 550 publications

(204 citation statements)

References 33 publications

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“…Studies have shown that R ohmic is a strong indicator for the SOH of the battery [24][25][26][27]. Therefore, all three algorithms proposed in this paper will estimate the pure ohmic resistance of the battery.…”

Section: Direct Resistance Estimation Algorithmmentioning

confidence: 99%

Comparative Analysis of Lithium-Ion Battery Resistance Estimation Techniques for Battery Management Systems

et al. 2018

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Safe and efficient operation of a battery pack requires a battery management system (BMS) that can accurately predict the pack state-of-heath (SOH). Although there is no universal definition for battery SOH, it is often defined based on the increase in the battery's internal resistance. Techniques such as extended Kalman filter (EKF) and recursive least squares (RLS) are two frequently used approaches for online estimation of this resistance. These two methods can, however, be computationally expensive, especially in the case of a battery pack composed of hundreds of cells. In addition, both methods require a battery model as well as chemistry specific parameters. Therefore, this paper investigates the performance of a direct resistance estimation (DRE) technique that requires minimal computational resources and can be implemented without any training data. This approach estimates the ohmic resistance only when the battery experiences sharp pulses in current. Comparison of results from the three algorithms shows that the DRE algorithm can accurately identify a degraded cell under various operating conditions while significantly reducing the required computational complexity. The findings will further advance diagnostic techniques for the identification of a weak cell in a large battery pack.

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Section: Direct Resistance Estimation Algorithmmentioning

confidence: 99%

Comparative Analysis of Lithium-Ion Battery Resistance Estimation Techniques for Battery Management Systems

et al. 2018

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“…It is noted that each parameter is changing in every iteration. However, the values of the parameter are chosen at the end of the iteration since they are resulted by using the whole I/O data, therefore representing the whole characteristic and shown in Table 1.The parameters obtained in Table 1 are inserted into (9) so that it becomes a complete equation. The performance of (9) in estimating current needs to be evaluated, hence (9) will be implemented in the test.…”

Section: -3mentioning

confidence: 99%

“…In this research, a development of current estimation is proposed by fixing the weakness in the previous researches, a better Thevenin battery model is then presented. The Thevenin battery model is used in many cases as it is more accurate in describing the characteristic of a real battery [3,9,10].…”

Section: Introductionmentioning

confidence: 99%

Current estimation of lithium polymer battery using recursive least square algorithm

Sukestyastama¹,

Harmoko²,

Dewangga³

et al. 2016

AIP Conference Proceedings

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“…This method realizes the online estimation of SOC and SOH and the model is proved to have robustness. Zou et al [10] proposed a combined SOC and SOH estimation method through the lifetime of a lithium-ion battery. Two Extended Kalman Filters of two time scales are used to estimate SOC in real time and update SOH offline, which provides accurate SOC and SOH estimations.…”

Section: Introductionmentioning

confidence: 99%

An Equivalent Circuit Model for Lithium Battery of Electric Vehicle considering Self-Healing Characteristic

Pei

Zhao

Yuan

et al. 2018

Journal of Control Science and Engineering

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Considering the self-healing phenomenon of lithium batteries during intermittent discharge, a self-healing characteristic-based equivalent circuit model of lithium batteries is proposed. The mathematical description of the lithium battery in the self-healing process is obtained through the analysis of the equivalent circuit model. Based on experimental platform, an experiment considering self-healing characteristic was performed. Result shows that the self-healing characteristic-based lithium battery equivalent circuit model can describe the voltage of the lithium battery accurately during the self-healing process.

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Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles

Cited by 550 publications

References 33 publications

Comparative Analysis of Lithium-Ion Battery Resistance Estimation Techniques for Battery Management Systems

Comparative Analysis of Lithium-Ion Battery Resistance Estimation Techniques for Battery Management Systems

Current estimation of lithium polymer battery using recursive least square algorithm

An Equivalent Circuit Model for Lithium Battery of Electric Vehicle considering Self-Healing Characteristic

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