معرفی شرکت ها

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

A Python package for working with battery discharge data and physics-based battery models

ویژگی	مقدار
سیستم عامل	-
نام فایل	ampere-0.5.9
نام	ampere
نسخه کتابخانه	0.5.9
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Neal Dawson-Elli
ایمیل نویسنده	nealde@uw.edu
آدرس صفحه اصلی	https://github.com/nealde/Ampere
آدرس اینترنتی	https://pypi.org/project/ampere/
مجوز	-

Ampere - Advanced Model Package for ElectRochemical Experiments ------------ `Ampere` is a Python module for working with battery models. Using a [scikit-learn-like API](https://arxiv.org/abs/1309.0238), we hope to make visualizing, fitting, and analyzing impedance spectra more intuitive and reproducible. <i>Ampere is currently in the alpha phase and new features are rapidly being added.</i> If you have a feature request or find a bug, please feel free to [file an issue](https://github.com/nealde/Ampere/issues) or, better yet, make the code improvements and [submit a pull request](https://help.github.com/articles/creating-a-pull-request-from-a-fork/)! The goal is to build an open-source tool that the entire electrochemical community can use and improve Ampere currently provides: - A simple API for fitting, predicting, and plotting discharge curves - A simple API for generating data, or fitting with arbitrary charge / discharge patterns. ## Installation ### Dependencies Ampere requires: - Python (>=3.5) - SciPy (>=1.0) - NumPy (>=1.14) - Matplotlib (>=2.0) - Cython (>=0.29) Several example notebooks are provided in the examples/ directory. Opening these will require Jupyter notebook or Jupyter lab. ### User Installation The easiest way to install Ampere is using pip: `pip install ampere` However, it depends on Cython and Microsoft c++ libraries in order to install (on windows). Those should be added as follows: `pip install --upgrade cython setuptools` follow [these instructions](https://docs.microsoft.com/en-us/answers/questions/136595/error-microsoft-visual-c-140-or-greater-is-require.html) to install the proper c++ libraries using Microsoft tools. That may or may not work, depending upon your system. An alternative method of installation that works is: `git clone https://github.com/nealde/ampere` I've recently added the Cython-generated c files back to the repo, so it may be as simple as: `cd ampere` `python setup.py install` However, if that doesn't work, the following will rebuild the files: `cd ampere/models/P2D` `python setup.py build_ext --inplace` `cd ../SPM` `python setup.py build_ext --inplace` This will build the local C code that is needed by the main compiler. Then, you can cd back up to the main folder and `python setup.py install` That will typically work. I'm still working on getting pip installation working, and it will likely require some package modifications, following SKLearn as a guide. ## Examples and Documentation Examples and documentation will be provided after my Defense, which is set for the end of May. ### On the Horizon - Currently, all models are solved with Finite Difference discretization. I would love to use some higher order spatial discretizations. - Currently, the results have not been verified with external models. That is still on the to-do list, and to incorporate those values into the test suite would be excellent. - Some of my published work regarding surrogate models for solving and fitting will be implemented once they are fully fleshed out. - Add ability to serialize / deserialize models from disk, to save the result of an optimization - add ability to have custom Up / Un functions for different battery chemistries - add documentation / fix docstrings to be accurate - add Latex equations and node spacings

نحوه نصب

نصب پکیج whl ampere-0.5.9:

pip install ampere-0.5.9.whl

نصب پکیج tar.gz ampere-0.5.9:

pip install ampere-0.5.9.tar.gz