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Storage","sub_category":"Battery","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"_Slide_\n===========================\n[![Ubuntu unit](https://github.com/Battery-Intelligence-Lab/SLIDE/workflows/Ubuntu%20unit/badge.svg)](https://github.com/Battery-Intelligence-Lab/SLIDE/actions)\n[![macOS unit](https://github.com/Battery-Intelligence-Lab/SLIDE/workflows/macOS%20unit/badge.svg)](https://github.com/Battery-Intelligence-Lab/SLIDE/actions)\n[![Windows unit](https://github.com/Battery-Intelligence-Lab/SLIDE/workflows/Windows%20unit/badge.svg)](https://github.com/Battery-Intelligence-Lab/SLIDE/actions)\n![Website](https://img.shields.io/website?url=https%3A%2F%2FBattery-Intelligence-Lab.github.io%2FSLIDE%2F)\n[![codecov](https://codecov.io/gh/Battery-Intelligence-Lab/SLIDE/branch/master/graph/badge.svg?token=K739SRV4QG)](https://codecov.io/gh/Battery-Intelligence-Lab/SLIDE)\n\n\n![GitHub all releases](https://img.shields.io/github/downloads/Battery-Intelligence-Lab/SLIDE/total) \n[![](https://img.shields.io/badge/license-BSD--3--like-5AC451.svg)](https://github.com/Battery-Intelligence-Lab/SLIDE/blob/master/LICENSE)\n\nIn this `readme.md` a summary is given. You may find the detailed documentation [here](https://Battery-Intelligence-Lab.github.io/SLIDE/).  \nIf you are affected by the sudden change of master branch, please switch to [SLIDE_v2](https://github.com/Battery-Intelligence-Lab/SLIDE/tree/SLIDE_v2) branch. \n\nTo cite this code, check the lastest release DOI at https://zenodo.org/badge/latestdoi/185216614.\n\n\u003cp align=\"center\"\u003e\n  \u003cimg width=\"70%\" \n  src=\"docs/slide_logo.png\"\u003e\n\u003c/p\u003e\n\n\n_Slide_ (simulator for lithium-ion degradation) is a code project mainly written in C++ to do fast simulations of degradation of lithium-ion batteries.\nSimulating 5000 1C CC cycles should take less than 1 minute; adding a CV phase doubles the calculation time to below 2 minutes. The project uses object oriented programming in C++, see documentation for more details. \n\nThe underlying battery model is the Single Particle Model (SPM) with a coupled bulk thermal model. \nA spectral implementation of the SPM in Matlab was developed by Bizeray and Howey and is [available separately on GitHub](https://github.com/davidhowey/Spectral_li-ion_SPM). _Slide_ adds various degradation models on top of the SPM. The equations were taken from literature and implemented in one large coupled model. Users can easily select which models they want to include in their simulations. They can set the values of the fitting parameters of those degradation models to fit their own data.\n\n_Slide_ is written to behave similarly to a battery tester. It offers functions to load cells with a constant current, a current profile or a constant voltage such that users can program their own degradation procedures. Some standard procedures have already been implemented (for calendar ageing and cycle ageing with regular CCCV cycles or with drive cycles). Also some reference performance tests have already been coded (to simulate a the capacity measurement, OCV curves, pulse discharge, etc.). Users can choose to store data points (current, voltage, temperature) at fixed time intervals during the degradation experiments, similar to how a battery tester stores such data.\n\nThe results from the simulations are written to csv files. Users can write their own code to read and plot these results, but MATLAB-scripts are provided for this too.\n\nDetailed documentation is provided in the pdf documents. The code itself is also extensively documented.\n\nIf you use _Slide_ in your work, please cite our paper:\n\nJ.M. Reniers, G. Mulder, D.A. Howey, \"Review and performance comparison of mechanical-chemical degradation models for lithium-ion batteries\", Journal of The Electrochemical Society, 166(14), A3189, 2019, DOI [10.1149/2.0281914jes](https://doi.org/10.1149/2.0281914jes).\n\nThis code has been developed at the Department of Engineering Science of \nthe University of Oxford. \nFor information about our lithium-ion battery research, visit the [Battery Intelligence Lab](https://howey.eng.ox.ac.uk) website. \n\nFor more information and comments, please contact \n[david.howey@eng.ox.ac.uk](david.howey@eng.ox.ac.uk).\n\n\nRequirements\n============\nYou will need a C++ programming environment to edit, compile and run the code.\nEclipse is the environment used to develop the code, but other environments should work as well.\nYour computer must also have a C++ compiler installed.\nThe code has been tested using g++.\nExtensive guidelines on how to install those programs is provided in the documentation.\n\nTo display the results, various Matlab scripts are provided.\nTo run those, you will need to have installed Matlab. \nThe code has been tested using Matlab R2018a, but should work with other releases with no or minor modifications.\n\nTo calculate the spatial discretisation, two open-source Matlab functions developped by others are being used.\nIf you don't change the discretisation, you will not need them.\nIf you do change the discretisation, please read the license files attached to those two functions ('license chebdif.txt' and 'lisence cumsummat.txt').\n\n \nInstallation\n============\n### Option 1 - Downloading a .zip file ###\n[Download a .zip file of the code](https://github.com/Battery-Intelligence-Lab/SLIDE/archive/master.zip)\n\nThen, unzip the folder in a chosen directory on your computer.\n\n### Option 2 - Cloning the repository with Git ###\nTo clone the repository, you will first need to have [Git][6] installed on \nyour computer. Then, navigate to the directory where you want to clone the \nrepository in a terminal, and type:\n```\ngit clone https://github.com/Battery-Intelligence-Lab/SLIDE.git\n```\nThe folder containing all the files should appear in your chosen directory.\n\n\nGetting started\n===============\nDetailed instructions on how to get started are in the documentation.\nYou first have to import the code to your programming environment and make sure the settings are correct (e.g. to allow enough memory for the calculation).\nThen you can open Main.cpp, which implements the main-function. 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These guides are mostly independent of each other, so you don't have to read all of them.\nAlso the code itself is extensively commented, so you might not have to read the guides at all.\n\n\nLicense\n=======\nThis open-source C++ and Matlab code is published under the BSD 3-clause License,\nplease read `LICENSE` file for more information.\n\nThis software also uses the following external libraries:\nTwo Matlab functions used by the code to produce the spatial discretisation have been developed by others.\n- DMSUITE: see [matlab/license-chebdif.txt](matlab/LICENSE-chebdif.txt) for details. \n- Cumsummat: see [matlab/licence-cumsummat.txt](matlab/LICENSE-cumsummat.txt) for details.\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.1149/2.0281914jes"],"works":{"https://doi.org/10.1149/2.0281914jes":{"id":"https://openalex.org/W2974904579","doi":"https://doi.org/10.1149/2.0281914jes","title":"Review and Performance Comparison of Mechanical-Chemical Degradation Models for Lithium-Ion Batteries","display_name":"Review and Performance Comparison of Mechanical-Chemical Degradation Models for Lithium-Ion Batteries","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2974904579","doi":"https://doi.org/10.1149/2.0281914jes","mag":"2974904579"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1149/2.0281914jes","pdf_url":"https://iopscience.iop.org/article/10.1149/2.0281914jes/pdf","source":{"id":"https://openalex.org/S138759888","display_name":"Journal of The Electrochemical Society","issn_l":"0013-4651","issn":["0013-4651","1945-7111"],"is_oa":false,"is_in_doaj":false,"host_organization":"https://openalex.org/P4310320195","host_organization_name":"Electrochemical Society","host_organization_lineage":["https://openalex.org/P4310320195"],"host_organization_lineage_names":["Electrochemical Society"],"type":"journal"},"license":"cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://iopscience.iop.org/article/10.1149/2.0281914jes/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026451139","display_name":"Jorn M. 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