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Paper WeA1.5

Diaz Aguilar, Andres Manuel (TNO), Lodge, Alessio Alberto (TNO), Hoekstra, FSJ (TNO)

Unlocking Electrochemical Battery Modelling: An Open-Source Suite Comparison Methodology

Scheduled for presentation during the Regular Session "Battery modelling, identification and simulation" (WeA1), Wednesday, June 18, 2025, 12:20−12:40, Kapel

AAC 2025 11th IFAC International Symposium on Advances in Automotive Control, June 15-18, 2025, Eindhoven, Netherlands

This information is tentative and subject to change. Compiled on June 1, 2025

Keywords Battery management systems, Powertrain modeling and control, Energy storage systems: electrochemical systems, supercapacitators, fuel cells

Abstract

This paper presents a methodology to compare open-source suites for electrochemical battery simulations in terms of simulation output and computation time. The proposed approach leverages the Battery Parameter eXchange standard to introduce a parameter porting framework that supports the implementation of equivalent cell parameters across suites, and provides a method for solver tolerance selection used for computational speed comparison. The methodology is showcased by comparing two of the most comprehensive open-source suites, PyBaMM and TOOFAB. While both provide lean model implementation, PyBaMM shows more versatility and faster mean simulation times, with TOOFAB closing the gap on simulations with coarser discretizations, particularly when order reductions are applied. Furthermore, considering portability to C and implementation simplicity, TOOFAB has a strong advantage.

 

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