Work

Uncovering the impact of battery design parameters on health and lifetime using short charging segments

Year: 2025

Type: article

Abstract: Battery design is linked to real-world applications using a battery-design-aware machine learning framework built on a digital twin model, ultimately contributing to safer and longer-lasting next-generation batteries.

Source: Energy & Environmental Science

DOI: 10.1039/d5ee03268g

Authors: Wendi Guo, Søren Byg Vilsen, Yaqi Li, Ashima Verma, Daniel Ioan Stroe, Daniel Brandell

Institutions: Uppsala University, Aalborg University

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: hybrid

Funders: Stand Up for Energy, Energimyndigheten, Nordic Energy Research

Award: G5110676929

OpenAlex ID: W4413198138

FWCI: 3.992

Cites: 65

Cited by: 16

Related to: 10