The use of electrochemical energy storage systems is getting more and more widespread nowadays due to the growing number of electrical vehicles. The proposed project is aimed towards the modelling and state/parameter estimation of thermal battery models.
Measurement based temperature dependency analysis of electrochemical energy storage systems (OTKA-SNN 120422)
A key property of electrochemical storage devices is the temperature dependency of their operation parameters (e.g. voltage, state of charge, etc.). Temperature dependency is particularly important in the case of electric vehicle batteries because they are operated in a wide temperature range between −40◦ C and 60◦ C. Different approaches to modeling the thermal behavior of electrochemical energy storage devices can be found in the literature. These are typically linear, (e.g., ) or LPV models.
The advent of hybrid and plug-in hybrid electric vehicles has created a demand for more precise battery pack management systems (BMS). Among methods used to design various components of a BMS, such as state-of-charge (SoC) estimators, model based approaches offer a good balance between accuracy, calibration effort and implementability. Excellent design of a thermal management system requires good understanding of the thermal behaviors of power batteries.
The primary aim of this project is the measurement based modelling and identification of the temperature dependency of electrochemical energy storage systems. The obtained results can be used as a part of a prognosis and health management system that takes the environmental circumstances (temperature) into account. It is also possible to integrate the results into a complex energetic model including domestic size renewable sources and EV batteries.
2016.09.01. - 2019.08.31.