Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter Estimation 事件

Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter Estimation arXiv:2605.29560v1 Announce Type: new Abstract: Parameterizing high-fidelity "digital twins" of batteries is a critical yet challenging inverse problem that hinders the pace of battery innovation. Prevailing methods formulate this as a black-box optimization (BBO) task, employing algorithms that are sample-inefficient and blind to the underlying physics. In this work, we introduce a new paradigm that reframes the i