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Synergistic enhancement of battery volumetric energy and power density via induction heating-assisted calendering

Submitted by zhan-sheng guo on
research

Abstract: Calendering is a crucial step in lithium-ion battery (LIB) electrode manufacturing, as it strongly influences electrode microstructure, mechanical integrity, and electrochemical behavior. This study introduces an innovative induction heating-assisted calendering (IHAC) technique that enables non-contact, directional heating of the current collector, allowing precise thermal control and microstructural tailoring during compaction.

Data-Driven State of Health Estimation for Lithium-Ion Batteries Based on Universal Feature Selection

Submitted by zhan-sheng guo on

A simple yet effective health indicator (HI)-based data-driven model forecasting the state of health (SOH) of lithium-ion batteries (LIBs) and thus enabling their efficient management is developed. Five HIs with high physical significance and predictive power extracted from voltage, current, and temperature profiles are used as model inputs. The generalizability and robustness of the proposed ridge regression–based linear regularization model are assessed using three NASA datasets containing information on the behavior of batteries over a wide range of temperatures and discharge rates.

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