Accessibility and Attribution

The related data and code are accessible under the Creative Commons Attribution-NoDerivatives 4.0 International License (CC BY-ND 4.0). Proper attribution is mandatory when using or sharing the data or code; please name the data source as "IECON-2022 Battery Dataset" and cite the source article: Dongzhen Lyu, Bin Zhang, Enrico Zio and Tao Yang. The explainable uncertainty in degradation process: a discovery from non-accelerated batteries degradation experiment [C]. 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022), Brussels, Belgium, 2022, pp. 1-6.

Data Storage Location

https://hrbeueducn-my.sharepoint.com/:f:/g/personal/lvdongzhen_hrbeu_edu_cn/EgCMEWCthTpCjTy1DOTqcK8BcYNhcvEpIG9LB-qfafP1JQ?e=yXSwJS

Attribution-NoDerivatives Requirement

When using or sharing the data or code, it is mandatory to name the data source as "IECON-2022 Battery Dataset" and cite the source article mentioned above. When sharing the data or code, it is also obligatory to maintain its original integrity and provide original links for accessing the data; any modification, processing, restructuring, or repackaging is prohibited. If necessary, please consult Dr. Dongzhen Lyu for detailed information about the experiment. Apart from the content already disclosed by Dr. Dongzhen Lyu, please refrain from making unauthorized guesses or interpretations regarding the experimental details.

Commercial Use

Commercial use of the relevant data is permitted in compliance with this agreement. However, when using the related code for commercial purposes, please ensure that you contact Dr. Dongzhen Lyu in advance to obtain patent permission and technical support.

Cooperation Invitation

Dr. Dongzhen Lyu has been deeply involved in the field of lithium battery lifetime prediction for almost ten years, conducting extensive research on technical bottlenecks and application challenges in real-world life prediction scenarios. He has developed a series of engineering methods, applied for multiple Chinese, PCT, and U.S. patents, and received authorizations. Interested parties in related research are welcome to contact at any time to collaborate on academic research or industrial cooperation.

License Agreement

Any institution, organization, entity, or individual, upon adopting, using, or in any way utilizing the data provided here for research, development, education, commercial activities, or any other activities, is deemed to automatically agree to and fully comply with all terms of this license agreement. In the event of any breach of this license agreement, the user must immediately cease using the data and take all necessary measures to mitigate any adverse effects resulting from unauthorized use, and be willing to accept any legal responsibilities arising from such actions.

Disclaimer

Users bear the risk of using the data and code provided here. The author makes no express or implied representations or warranties regarding the completeness, accuracy, reliability, applicability, or availability of the data, code, or related graphics contained in this document. In no event shall the author be liable for any direct, indirect, or consequential losses or damages, including but not limited to loss of data or profits resulting from the use of this data and code.

Revision Clause

The terms of this license agreement may be revised periodically. All revisions will become effective automatically and will be reflected in the latest version of this agreement. Revisions will be incorporated directly into the agreement text, and users are expected to regularly check the latest version to ensure awareness of all applicable terms. Revisions do not require separate notification, and continued use of the data or code implies acceptance of the revised terms and conditions.

Contact Information

For inquiries or clarifications, please contact Dr. Dongzhen Lyu.

Email: lvdongzhen@hrbeu.edu.cn

WeChat ID: LyuDongzhen