Condition Monitoring System for Electric Vehicle Battery Packs using Current Density Images of Lithium-ion Pouch Cells
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PhD Thesis
Embargoed until: 2024-12-19
Reason: Author request
Embargoed until: 2024-12-19
Reason: Author request
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The rapid growth of electric vehicles (EVs) has resulted in an increasing demand for reliable, efficient, and durable battery packs. The performance and longevity of Lithium-ion batteries (LIBs) are paramount to the overall success of EVs, making it crucial to continuously monitor their health and performance. This thesis presents the development of an advanced condition monitoring system (CMS) for electric vehicle battery packs using current density images (CDIs) of Lithium-ion pouch cells. The proposed monitoring system employs an innovative approach to non-invasively measure the current distribution within Lithium-ion pouch cells, using a combination of magnetic sensors and advanced image processing techniques, based on deep learning models. The technique generates high-resolution current density images that provide crucial information about the cell's state of health (SoH), state of charge (SoC), and degradation mechanisms, such as capacity fade and internal resistance increase. The thesis systematically investigates the underlying principles of the imaging technique, its implementation, and its integration into a comprehensive condition monitoring system for EV battery packs. Extensive experimental and simulation studies are conducted to validate the effectiveness and accuracy of the proposed system. The proposed method, which is based on convolutional neural networks (CNN), characterises the changes in current density distribution originating from the LIB's electrode in different SoH states. The results demonstrate that the current density imaging technique provides a reliable and real-time means of assessing the health and performance of Lithium-ion pouch cells, enabling proactive maintenance and more efficient battery management. This novel CMS has the potential to significantly enhance the performance, safety, and life cycle of electric vehicle battery packs, ultimately contributing to the broader adoption and success of electric vehicles in the transportation sector.
Authors
Javadipour, MCollections
- Theses [4184]