V. Sulzer, S. Marquis, R. Timms, Martin Robinson, S. J. Chapman
{"title":"Python Battery Mathematical Modelling (PyBaMM)","authors":"V. Sulzer, S. Marquis, R. Timms, Martin Robinson, S. J. Chapman","doi":"10.1149/osf.io/5npy8","DOIUrl":null,"url":null,"abstract":"As the UK battery modelling community grows, there is a clear need for software that uses modern software engineering techniques to facilitate cross-institutional collaboration and democratise research progress. The Python package PyBaMM aims to provide a flexible platform for implementation and comparison of new models and numerical methods. This is achieved by implementing models as expression trees and processing them in a modular fashion through a pipeline. Comprehensive testing provides robustness to changes and hence eases the implementation of model extensions. PyBaMM is open source and available on GitHub at https://github.com/pybamm-team/PyBaMM.","PeriodicalId":37323,"journal":{"name":"Journal of Open Research Software","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"107","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Open Research Software","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1149/osf.io/5npy8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 107
Abstract
As the UK battery modelling community grows, there is a clear need for software that uses modern software engineering techniques to facilitate cross-institutional collaboration and democratise research progress. The Python package PyBaMM aims to provide a flexible platform for implementation and comparison of new models and numerical methods. This is achieved by implementing models as expression trees and processing them in a modular fashion through a pipeline. Comprehensive testing provides robustness to changes and hence eases the implementation of model extensions. PyBaMM is open source and available on GitHub at https://github.com/pybamm-team/PyBaMM.