The equivalent circuit battery model parameter sensitivity analysis for lithium‐ion batteries by Monte Carlo simulation

Guo, Feng; Hu, Guangdi; Zhou, Pengkai; Huang, Tao; Xu, Chen; Ye, Mengqi; He, Jiajin

doi:10.1002/er.4863

Cited by 12 publications

(13 citation statements)

References 40 publications

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“…As can be seen from the S i values, V oc and R 0 are the two, which have the best identifiability among all the six parameters, establishing sufficient confidence for us to use the estimates of these two parameters in battery diagnostic and control applications. This is also discovered by Guo et al through a global sensitivity analysis of second order ECM parameters . Table further shows that the identifiability of these two parameters tends to be much better in the dynamic operating conditions.…”

Section: Results Analysis and Discussionsupporting

confidence: 64%

“…This is also discovered by Guo et al through a global sensitivity analysis of second order ECM parameters. 22 Table 1 further shows that the identifiability of these two parameters tends to be much better in the dynamic operating conditions. On the other hand, it can be observed that the true value of V oc falls within its estimated CIs in both operating cycles.…”

Section: Identifiability Resultsmentioning

confidence: 95%

“…Several methods exist for assessing the practical identifiability of battery parameters. As sensitive parameters tend to have stronger identifiability, traditional sensitivity analysis is usually performed to investigate the practical identifiability of various parameters in an electrochemical model or an ECM . The parameter identifiability for series and parallel battery strings with lumped measurements is analyzed via linear and nonlinear observability tests.…”

Section: Introductionmentioning

confidence: 99%

“…As sensitive parameters tend to have stronger identifiability, traditional sensitivity analysis is usually performed to investigate the practical identifiability of various parameters in an electrochemical model 20 or an ECM. 21,22 The parameter identifiability for series and parallel battery strings with lumped measurements is analyzed via linear and nonlinear observability tests. It is shown in the tests that model parameters of cells in parallel connection can be determined by using only one voltage and one current sensor.…”

Section: Introductionmentioning

confidence: 99%

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A novel interval‐based approach for quantifying practical parameter identifiability of a lithium‐ion battery model

et al. 2020

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Summary Practical identifiability of battery model parameters, on which both modeling accuracy and robustness rely, is considered as a very important prerequisite for advanced onboard monitoring and control of Lithium‐ion batteries. In this paper, a novel confidence‐interval‐based approach is proposed for the quantification and assessment of the practical identifiability of a widely used second order battery equivalent circuit model (ECM). This method utilizes profile likelihood and likelihood ratio subset statistic to calculate each parameter's confidence interval, based on which a normalized index is further derived for facilitating quantification and fast comparison of the identifiability degree among different parameters. Using this approach, the practical identifiability of the second order ECM under lab‐collected experimental data is successfully evaluated, and the influences of several real‐world factors are systematically examined through extensive simulations. The results show that the open circuit voltage and ohmic internal resistance have a much larger degree of identifiability in all the investigated conditions. Some practically useful insights on performing battery parameter identification are also provided.

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Section: Results Analysis and Discussionsupporting

confidence: 64%

Section: Identifiability Resultsmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A novel interval‐based approach for quantifying practical parameter identifiability of a lithium‐ion battery model

et al. 2020

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“…Based on the anode potential results and engineering experience, the lithium‐ion battery could accept large current at low SOC, 3,18 so the constant dQ/dV could be combined with a large constant current (CC) charge at low SOC to shorten the charging time, as shown in Figure 2B. Since every dQ/dV step could be a constant voltage configuration, the current shows a decreased shape for each step, which could be explained by the first‐ or second‐order model of battery 31 . The inflection point of the current is always around 40% SOC regardless of the value of dQ/dV and the initial current, so we suspect that it is related to the battery characteristics, and the constant current stage should not exceed SOC at inflection point.…”

Section: Methodsmentioning

confidence: 99%

Optimized fast charging protocol for cylindrical lithium‐ion battery based on constant incremental capacity algorithm

Lao

Zhang

2020

Int J Energy Res

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Summary Reducing the charging time for electric vehicles (EVs) is considered as a crucial factor to promote consumer interest and improve the competitiveness of EVs in the automotive market. Therefore, the investigation of fast charging protocol becomes increasingly important. In this work, a novel self‐adaptive fast charging protocol for cylindrical lithium‐ion battery is proposed based on constant incremental capacity (dQ/dV) algorithm, the charging current of which is adaptively adjusted by the intrinsic properties of battery. The cycle test results show that the battery using the new fast charging protocol maintains a capacity of about 90% after 1150 cycles, indicating that the proposed charging protocol can improve the cycle life of the battery, while decreasing the charging time. The fatigue analysis has shown that the capacity fade results predominantly from the loss of active lithium ion and degradation of anode. The anode potential evaluation results show that the anode potential is always greater than zero volt with the proposed fast charging protocol, which avoids lithium deposition. Meanwhile, the post‐mortem results of cycled battery indicate that the battery using the proposed charging protocol generate no lithium deposition on anode.

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A Comprehensive Physical‐Based Sensitivity Analysis of the Electrochemical Impedance Response of Lithium‐Ion Batteries

et al. 2021

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The electrochemical impedance spectroscopy (EIS) characterization technique, although widely adopted in electrochemistry for understanding operational issues and degradation, has a less consolidated physical interpretation in lithium‐ion batteries (LIBs), often relying on circuital methods. Herein, the Doyle–Fuller–Newman model is adapted and experimentally validated for the physical simulation of electrochemical impedance; then, it is applied in a comprehensive one‐factor‐at‐time sensitivity analysis on an impedance spectrum from 4 kHz to 0.005 Hz; 28 physical parameters, which represent the kinetic, resistive, diffusive, and geometric characteristics of the battery, are varied within broad literature‐based ranges of values, for each of the 20 analyzed battery states, characterized by different state‐of‐charge and temperature values. The results show a miscellaneous sensitivity of parameters on impedance spectra, which ranges from highly sensitive to negligible, often resulting in a strong dependence on operating conditions and impedance frequency. Such results consolidate the understanding of LIB electrochemical impedance and demonstrate that 40% of the parameters, 12 out of 28, can be considered poorly sensitive or insensitive parameters; therefore, fitting the experimental EIS data, their value can be assumed from the literature without significantly losing accuracy.

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The equivalent circuit battery model parameter sensitivity analysis for lithium‐ion batteries by Monte Carlo simulation

Cited by 12 publications

References 40 publications

A novel interval‐based approach for quantifying practical parameter identifiability of a lithium‐ion battery model

A novel interval‐based approach for quantifying practical parameter identifiability of a lithium‐ion battery model

Optimized fast charging protocol for cylindrical lithium‐ion battery based on constant incremental capacity algorithm

A Comprehensive Physical‐Based Sensitivity Analysis of the Electrochemical Impedance Response of Lithium‐Ion Batteries

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