This master's thesis describes the modelling procedure of the battery pack (BP) for the Formula Student race car. Any energy surplus in the BP at the end of the endurance time trial is reflected as an energy loss. On the other hand, due to excessive consumption, the trial can end with disqualification. By estimating the battery's state of charge, we can assess how much energy is still in the BP. With this information, the driver can adjust the consumption while driving, to achieve the best possible time and to finish the trial.
Each battery pack is made from battery cells (BC). By simulating each one and using the principle of superposition, we can develop a simulation model of an arbitrary BP. Thus, we can check its responsiveness with minimal investment. After the simulations, we can choose a BP based on BC, which provides the best ratio between its quality and cost.
In the scope of modelling, we parameterized 4 cells, i.e. 2 cylindrical (Sony VTC5 and VTC6A) and 2 flat (Melasta SLPB9544124 and SLPB9070175). We validated and evaluated the quality of the model on BC VTC5 and SLPB9544124. BC VTC5 was used as a base for the BP for the Svarog (2019 season) and the Eldrax (season 2018), while the BC SLPB9544124 are the basis of the BP in the Tabaluga race car (season 2021). The modelling was successful for both selected cells; thus, the state-of-charge estimation was also implemented and tested on the Tabaluga race car.
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