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A scalable open-source software platform for managing and automating massively parallel battery cycling experiments

Year: 2026

Type: article

Abstract: A set of open-source Python tools, usable together or independently, automates hundreds of parallel battery cycling experiments – taking a unified input and returning open, FAIR-compliant datasets.

Source: Digital Discovery

DOI: 10.1039/d6dd00184j

Authors: Graham Kimbell, Ruben-Simon Kühnel, Corsin Battaglia

Institutions: Swiss Federal Laboratories for Materials Science and Technology, ETH Zurich, École Polytechnique Fédérale de Lausanne

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: diamond

Funders: Board of the Swiss Federal Institutes of Technology, Staatssekretariat für Bildung, Forschung und Innovation, HORIZON EUROPE Climate, Energy and Mobility

Awards: BATTERY 2030+ CSA3 large-scale research initiative: At the heart of a connected green society, G3646560878, Innovative and Sustainable High Voltage Li-ion Cells for Next Generation (EV) Batteries, Innovative and Sustainable High Voltage Li-ion Cells for Next Generation (EV) Batteries, Battery 2030+ CSA3 large-scale research initiative: At the heart of a connected green society

OpenAlex ID: W7201857016

FWCI:

Cites: 64

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