Yizhou Zhang

Doctoral Student at Automatic Control

Yizhou Zhang is an industrial PhD student in the Automatic Control research group, in cooperation with China Euro Vehicle Technology (CEVT AB). His research focuses on data science and battery aging estimation. He is involved in a project related to data-driven battery health estimation and lifetime prediction, with the aim to extend the lifetime and enhance the performance of the traction battery in electrified vehicles.

Source: chalmers.se
Image of Yizhou Zhang

Showing 5 publications

2024

State of health estimation for lithium-ion batteries under arbitrary usage using data-driven multi-model fusion

Yizhou Zhang, Torsten Wik, John Bergström et al
IEEE Transactions on Transportation Electrification. Vol. 10 (1), p. 1494-1507
Journal article
2023

Early prediction of battery life by learning from both time-series and histogram data

Yizhou Zhang, Torsten Wik, Yicun Huang et al
IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 56 (2), p. 3770-3775
Paper in proceeding
2023

Practical battery state of health estimation using data-driven multi-model fusion

Yizhou Zhang, Torsten Wik, John Bergström et al
IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 56 (2), p. 3776-3781
Paper in proceeding
2022

A machine learning-based framework for online prediction of battery ageing trajectory and lifetime using histogram data

Yizhou Zhang, Torsten Wik, John Bergström et al
Journal of Power Sources. Vol. 526
Journal article

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Showing 2 research projects

2023–2025

Data-driven lifetime extension and performance optimization for vehicle battery systems

Changfu Zou Automatic Control
Torsten Wik Automatic Control
Yizhou Zhang Automatic Control
Swedish Energy Agency

2020–2023

Data driven battery aging prediction

Changfu Zou Automatic Control
Torsten Wik Automatic Control
Yizhou Zhang Automatic Control
Swedish Energy Agency

8 publications exist
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