Battery characterization and prognosis are essential for analyzing underlying
electrochemical mechanisms and ensuring safe operation, especially with the assistance of …

Lithium–ion batteries play a crucial role in clean transportation systems including EVs,
aircraft, and electric micromobilities. The design of battery cells and their production process …

Lithium-ion battery prognostics and health management (BPHM) systems are vital to the
longevity, economy, and environmental friendliness of electric vehicles and energy storage …

Predicting and monitoring battery life early and across chemistries is a significant challenge
due to the plethora of degradation paths, form factors, and electrochemical testing protocols …

Non‐trivial relationships link individual materials properties to device‐level performance.
Device optimization therefore calls for new automation approaches beyond the laboratory …

Ion transport in non-aqueous electrolytes is crucial for high performance lithium-ion battery
(LIB) development. The design of superior electrolytes requires extensive experimentation …

In this work, neural ordinary differential equations (NODE) are used to identify
phenomenological growth rate functions to model the solid electrolyte interphase (SEI) …

Lithium-ion batteries have found applications in many parts of our daily lives. Predicting their
remaining useful life (RUL) is thus essential for management and prognostics. Most …

Human-centric smart manufacturing (HCSM) envisions a symbiotic relationship between
humans and machines, leveraging human capability and Artificial Intelligence (AI)'s …

Batteries are the most expensive component of battery electric vehicles (BEVs), but they
degrade over time and battery operation. State of health (SOH) forecasting models learn …