Metadata-Version: 2.4
Name: autotwin_bselib
Version: 0.0.1
Summary: Battery SoC Estimation Library for Auto-Twin
License: BSD-3-Clause
License-File: LICENSE
Keywords: auto-twin,battery model,SoC estimation
Author: Yiqi Jia
Author-email: yiqi.jia@polimi.it
Requires-Python: >=3.10,<4.0
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Manufacturing
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Dist: matplotlib (>=3.10.6,<4.0.0)
Requires-Dist: pandas (>=2.3.2,<3.0.0)
Requires-Dist: scipy (>=1.15.3,<2.0.0)
Project-URL: Homepage, https://github.com/AutotwinEU/batt-soc-est
Description-Content-Type: text/markdown

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# Battery SoC Estimation Library for Auto-Twin

A lumped-parameter Equivalent Circuit Model (ECM) is developed. It simulates battery performance under various working conditions and its parameters are continuously updating based on operational data. An algorithm is implemented using this model for the hybrid estimation of the battery's State of Charge (SOC).


