Lithium-ion battery health assessment method based on belief rule base with interpretability

Han, Peng; He, Wei; Cao, You; Li, YingMei; Mu, Quanqi; Wang, YuHe

doi:10.1016/j.asoc.2023.110160

Cited by 30 publications

(19 citation statements)

References 36 publications

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“…Mean squared error (MSE) is a commonly used evaluation criterion for model performance and has been used in various methods to assess the accuracy of the method. However, MSE considering only accuracy can no longer meet real‐world needs, especially in complex and critical domains, which require highly interpretable and reliable models 4 . Therefore, it is necessary to develop an evaluation criterion for BRB that considers both accuracy and interpretability.…”

Section: Problem Formulation and The Initial Construction Of The Ibrb...mentioning

confidence: 99%

“…In the solution space, interpretability is expressed as the similarity between the parameters and the expert knowledge, because it retains valuable information from expert insights 4 . Here, the credibility of the expert knowledge is taken into account.…”

Section: New Evaluation Criterion For Ibrb‐cmentioning

confidence: 99%

“…However, as Li‐ion batteries age and undergo internal chemical reactions, they tend to enter an unstable state. If these batteries are used continuously under such unstable conditions, it will lead to low battery voltage and affect the battery life 4 . It becomes critical to develop accurate and interpretable estimation techniques.…”

Section: Introductionmentioning

confidence: 99%

“…The objective is to find an optimal interval parameter to balance accuracy and interpretability 18 . Then, Han et al proposed a new evaluation criterion in the literature, 4 considering both the accuracy and interpretability of BRB. The credibility of expert knowledge is the degree of trustworthiness and reliability that is associated with a body of knowledge.…”

Section: Introductionmentioning

confidence: 99%

“…If these batteries are used continuously under such unstable conditions, it will lead to low battery voltage and affect the battery life. 4 It becomes critical to develop accurate and interpretable estimation techniques. The state of health (SOH) estimation of batteries refers to the evaluation of batteries' current condition and their ability to perform within specified parameters.…”

Section: Introductionmentioning

confidence: 99%

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A new state‐of‐health estimation method for Li‐ion batteries based on interpretable belief rule base with expert knowledge credibility

Yin,

Jia,

et al. 2023

Energy Science & Engineering

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State‐of‐health (SOH) estimation methods for Li‐ion batteries are important for the safe operation of the entire system. However, it is often challenging due to the uncertainty within the batteries and the criteria for model interpretability. Belief rule base (BRB) is a rule‐based expert system that has certain advantages for both aspects. However, several problems with BRB interpretability need to be solved urgently. First, expert knowledge credibility is often given subjectively, while objective information is neglected to be considered. Second, BRB interpretability is easily ignored or corrupted in the optimization process. Third, expert knowledge is assumed to be completely reliable information to be used as interpretability evaluation criterion. Therefore, a new SOH estimation method for Li‐ion batteries based on interpretable BRB with expert knowledge credibility (IBRB‐c) is proposed. In the IBRB‐c, the calculation method of expert knowledge credibility is given. Then, an optimization algorithm with interpretability strategies is used. Finally, the concept of the fuzzy interpretable interval is proposed to design the interpretable evaluation criterion. The effectiveness of the proposed method is verified by using the experiment of NASA Li‐ion battery as a case study.

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Section: Problem Formulation and The Initial Construction Of The Ibrb...mentioning

confidence: 99%

Section: New Evaluation Criterion For Ibrb‐cmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A new state‐of‐health estimation method for Li‐ion batteries based on interpretable belief rule base with expert knowledge credibility

Yin,

Jia,

et al. 2023

Energy Science & Engineering

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A New Interpretable State‐of‐Health Assessment Model for Lithium‐Ion Batteries With Multidimensional Adaptability Optimization

Zhang,

Qu,

Liu

et al. 2024

Energy Science & Engineering

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The state‐of‐health (SOH) assessment of lithium‐ion batteries is critical to the development and optimization of maintenance strategies. To ensure the accuracy of the assessment results, it must not only address a variety of uncertainties but also rationalize and transparently conduct the assessment process, as well as make the results interpretable and traceable. These requirements are necessary to ensure that the battery operates safely and steadily. As an interpretable modeling method, belief rule base (BRB) has been widely used in lithium‐ion battery SOH assessment. However, current BRB‐based models face two problems: (1) The initial reference values provided by experts often have limited accuracy due to complex internal chemistry. (2) The multidimensionality of the parameters in the interpretable optimization process and the differences in their properties should be fully considered. Therefore, this paper proposes a new SOH assessment model for lithium‐ion batteries based on an interpretable BRB with multidimensional adaptability optimization (IBRB‐mao). First, an interpretable knowledge and data dual‐driven reference value generation method is proposed to address the issue of imprecise reference values. Expert knowledge is maintained when generating reference values using this method. Second, two interpretable multidimensional constraint strategies are proposed to ensure interpretability in the optimization process. Finally, the NASA lithium‐ion battery data set is taken as a case study to validate the effectiveness of the proposed method.

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On the continuous probability distribution attribute weight of belief rule base model

Zhang,

Huang,

et al. 2024

J Supercomput

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Lithium-ion battery health assessment method based on belief rule base with interpretability

Cited by 30 publications

References 36 publications

A new state‐of‐health estimation method for Li‐ion batteries based on interpretable belief rule base with expert knowledge credibility

A new state‐of‐health estimation method for Li‐ion batteries based on interpretable belief rule base with expert knowledge credibility

A New Interpretable State‐of‐Health Assessment Model for Lithium‐Ion Batteries With Multidimensional Adaptability Optimization

On the continuous probability distribution attribute weight of belief rule base model

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