Samenvatting
Electrochemical energy storage devices have a crucial role in de-carbonization of the electromotive sector. Nowadays, most of electric vehicles (EVs) incor- porate Lithium-ion batteries (Li-ion), as an attempt to reduce the greenhouse emissions and transit from the fossil fuel era. Such EV’s key performance pa- rameter is the battery pack, which is controlled to retain a safe and reliable operation. Moreover, in order to improve the pack’s energy per unit volume, and thus, the EV’s mileage capabilities, efficient designs are becoming neces- sary. Throughout this thesis, the battery thermal management system (BTMS) with certain electro-mechanical constrains is being investigated.Extensive characterization at the beginning of life is performed to capture the electro-thermal behavior of the cells under various loadings and within a safe operation area. Starting from a cell-level analysis, empirical and physics-based modeling techniques are presented for mapping the voltage behavior and heat dissipation of the high-power and/or high-energy prismatic battery cells. For this purpose, a comparative study is performed for parameter identification of the models, which can be utilized in the battery management systems to ensure safety and efficiency.
A multi-cell topology is numerically built and analyzed, by considering an air- flow cooling strategy due to its good performance, scalability and lightweight. The proposed multi-physics models are interlinked for fist time to a multi- objective optimization framework that is capable of improving the cooling effi- ciency and reducing the BTMS’s volume up to 70% and 5%, respectively, as to enhance the modular volumetric energy density and heat dissipation manage- ment at the same time. A novel 12S1P Li-ion battery module is experimentally built and validated, with a good agreement to the framework’s optimal results.
Such framework for the modular design is unprecedented in the literature and can be treated as a methodology to build optimized BTMS battery modules. This PhD contributes on enhancing the performance of battery-motive appli- cations, through physical optimization of the electric, thermal and mechanical architecture of the on-board utilized BTMS.
| Datum prijs | 10 sep 2021 |
|---|---|
| Originele taal | English |
| Begeleider | Maitane Berecibar (Promotor) & Joeri Van Mierlo (Co-promotor) |