Phenomenological Li-ion Battery Modeling in Dymola

This document explores the development of modular, acausal electro-thermal lithium-ion battery models in Dymola and Modelica for hybrid and electric vehicle applications.

The research focuses on creating scalable battery cell and pack models using equivalent circuit methods combined with thermal modelling to capture key battery behaviours such as temperature dependence, hysteresis, self-discharge, diffusion limitations, and state-of-charge dynamics. By using optimisation routines and real-world cycling data to parameterise commercially available lithium-ion cells and battery packs, the study demonstrates accurate prediction of voltage, thermal performance, and transient battery behaviour under aggressive drive cycles. The work also highlights the advantages of Modelica’s equation-based acausal modelling approach for integrating electro-thermal battery systems into larger electrified powertrain simulations while supporting pack scalability, diagnostics, thermal management, and battery system optimisation.