Battery-Sim-Agent reframes inverse battery parameter estimation as an LLM reasoning task in closed loop with a simulator and outperforms Bayesian optimization baselines on diverse benchmarks.
Parameterization of a Physico-Chemical Model of a Lithium -Ion Battery:I
2 Pith papers cite this work, alongside 279 external citations. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
A computational framework integrates the Doyle-Fuller-Newman electrochemical model with a 3D distributed equivalent circuit network model to simulate Li-ion battery discharge more accurately than lumped models at low temperatures or high rates.
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Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter Estimation
Battery-Sim-Agent reframes inverse battery parameter estimation as an LLM reasoning task in closed loop with a simulator and outperforms Bayesian optimization baselines on diverse benchmarks.
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A Computational Framework Integrating Physics-based Model and Equivalent Circuit Network Model to Simulate Li-ion Batteries
A computational framework integrates the Doyle-Fuller-Newman electrochemical model with a 3D distributed equivalent circuit network model to simulate Li-ion battery discharge more accurately than lumped models at low temperatures or high rates.