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Parameters identification of Thevenin model for lithium-ion batteries using self-adaptive Particle Swarm Optimization Differential Evolution algorithm to estimate state of charge

Research article (Journal of Energy Storage, 2021) · cited 66× · AI/ML
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Parameters identification of Thevenin model for lithium-ion batteries using self-adaptive Particle Swarm Optimization Differential Evolution algorithm to estimate state of charge

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Parameters identification of Thevenin model for lithium-ion batteries using self-adaptive Particle Swarm Optimization Differential Evolution algorithm to estimate state of charge is a scholarly article[1].

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  • Parameters identification of Thevenin model for lithium-ion batteries using self-adaptive Particle Swarm Optimization Differential Evolution algorithm to estimate state of charge's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Parameters identification of Thevenin model for lithium-ion batteries using self-adaptive Particle Swarm Optimization Differential Evolution algorithm to estimate state of charge. Retrieved May 24, 2026, from https://4ort.xyz/entity/parameters-identification-of-thevenin-model-for-lithium-ion-batteries-using-self-adaptive-particle-swarm-optimization-di
MLA “Parameters identification of Thevenin model for lithium-ion batteries using self-adaptive Particle Swarm Optimization Differential Evolution algorithm to estimate state of charge.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/parameters-identification-of-thevenin-model-for-lithium-ion-batteries-using-self-adaptive-particle-swarm-optimization-di.
BibTeX @misc{4ortxyz_parameters-identification-of-thevenin-model-for-lithium-ion-batteries-using-self-adaptive-particle-swarm-optimization-di_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Parameters identification of Thevenin model for lithium-ion batteries using self-adaptive Particle Swarm Optimization Differential Evolution algorithm to estimate state of charge}}, year = {2026}, url = {https://4ort.xyz/entity/parameters-identification-of-thevenin-model-for-lithium-ion-batteries-using-self-adaptive-particle-swarm-optimization-di}, note = {Accessed: 2026-05-24}}
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