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CAE Method for linking electrochemical Lithium-ion models into integrated system-level models of electrified vehicles

EC Power Inc.-Gang Luo
Gamma Technologies LLC-Joe Wimmer, Iakovos Papadimitriou
Published 2018-04-03 by SAE International in United States
Historically, electrical-equivalent modeling of battery systems has been the preferred approach of engineers when modeling hybrid and electric vehicles at the system level. This approach has provided modeling engineers good boundary conditions for batteries, with accurate terminal voltage and state of charge (SOC) calculations; however, it fails to provide insight into the electrochemical processes taking place in their Lithium-ion cells, necessary to optimize control algorithms and predict aging mechanisms within the battery. In addition, the use of predictive battery models that simulate electrochemical mechanisms empowers engineers with the ability to predict the performance of a Lithium-ion cell without requiring cells to be manufactured. If hardware is already available and tested, the use of physics-based battery models allows the simulation of the cell to be done well beyond the conditions at which the battery has been tested. Thus battery testing and characterization effort is reduced significantly without compromising results accuracy. This paper proposes a method of linking electrochemical Lithium-ion models of battery systems with multi-domain (electrical, mechanical, thermal, and flow domains) system-level models of hybrid and…
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AutoLion™: A Thermally Coupled Simulation Tool for Automotive Li-Ion Batteries

EC Power-Jim Kalupson, Gang Luo, Christian E. Shaffer
Published 2013-04-08 by SAE International in United States
In this paper, we demonstrate the AutoLion™ suite: a collection of battery simulation tools for electric drive vehicle (EDV) Li-ion cell and pack development. At the heart of each simulation tool is a thermally coupled battery (TCB) model that simultaneously computes electrochemical and thermal effects of large format cell and pack operation. As we will demonstrate through illustrative examples, TCB modeling is critically important for properly simulating EDV Li-ion cells and packs under conditions of interest to the automotive industry (cold-start, rapid charge, safety simulations, etc.). Furthermore, we highlight a one-of-a-kind degradation model that simultaneously predicts cell performance and degradation over the life cycle of the battery.
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