Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
A machine learning-based framework for online prediction of battery ageing trajectory and lifetime using histogram data
Published in Journal of Power Sources, 2022
Y. Zhang, T. Wik, J. Bergström, M. Pecht, C. Zou,
Using machine learning, we developed a powerful framework for predicting battery aging and extending battery life. Our approach, tested on real-world electric vehicle data, achieves high accuracy with low computational requirements, providing significant potential for improving battery management systems.
State of health estimation for lithium-ion batteries under arbitrary usage using data-driven multi-model fusion
Published in Journal of Power Sources, 2022
Y. Zhang, T. Wik, J. Bergström, C. Zou,
We developed a state-of-health estimation method for lithium-ion batteries using a data-driven multi-model fusion approach. By combining machine learning models and a Kalman filter, our approach provides accurate and robust health estimates under varied operating conditions, enabling safer and more reliable battery management in electric vehicles.
Early prediction of battery life by learning from both time-series and histogram data
Published in Journal of Power Sources, 2023
Y. Zhang, T. Wik, Y. Huang, J. Bergström, C. Zou,
Our study presents a novel approach for early battery life prediction by combining time-series and usage-related data, achieving robust predictions even with limited early data. This method provides a more accurate and practical solution for managing battery health across diverse conditions, paving the way for improved battery management systems.
Machine learning-based lifelong estimation of lithium plating potential: A path to health-aware fastest battery charging
Published in Energy Storage Materials, 2024
Y. Zhang, T. Wik, J. Bergström, C. Zou,
Our study introduces a machine learning-based framework for lifelong estimation of lithium plating potential, enabling faster and safer battery charging. By maintaining plating potential control, our approach achieves 30% faster charging and significantly extends battery life, offering a practical solution for efficient electric vehicle battery management.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.