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Batteries 2018, 4(2), 29; https://doi.org/10.3390/batteries4020029

Development of an Electro-Thermal Model for Electric Vehicles Using a Design of Experiments Approach

1
Department of Chemical Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
2
Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
3
Nuvation Energy, 40 Bathurst Dr., Waterloo, ON N2V 1V6, Canada
*
Author to whom correspondence should be addressed.
Received: 12 April 2018 / Revised: 15 May 2018 / Accepted: 7 June 2018 / Published: 18 June 2018
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Abstract

An accurate and computationally efficient lithium-ion battery model is beneficial when developing state-of-charge (SOC) and state-of-health (SOH) algorithms for battery management systems (BMS). These models allow for software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing, where the battery pack is simulated in software. However, development of these battery models can be time-consuming, especially when trying to model the effects of temperature and SOC on the equivalent circuit model (ECM) parameters. Estimation of this relationship is often accomplished by carrying out many experiments, which can be costly and time consuming for BMS manufacturers. To address these issues, this paper makes two contributions to literature. First, a comprehensive battery model is developed, where the ECM parameter surface is generated using a design of experiments (DOE) approach. Second, replication runs are conducted to accurately estimate the measurement noise and determine which model parameters are significant. The technique is then compared with existing approaches from the literature, and it is shown that, by using the proposed method, the same degree of accuracy can be obtained while requiring significantly fewer experimental runs. This can be advantageous for BMS manufacturers that require a high-fidelity model but cannot afford to carry out many experiments. View Full-Text
Keywords: lithium-ion batteries; thermal modeling; design of experiments; statistical analysis lithium-ion batteries; thermal modeling; design of experiments; statistical analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Mathew, M.; Mastali, M.; Catton, J.; Samadani, E.; Janhunen, S.; Fowler, M. Development of an Electro-Thermal Model for Electric Vehicles Using a Design of Experiments Approach. Batteries 2018, 4, 29.

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