Designing a Robust Battery Pack for Electric Vehicles Using a Modified Parameter Diagram
Published March 10, 2015 by SAE International in United States
Annotation of this paper is available
Battery packs are highly sensitive to operating environment and their interactions with other systems in electric vehicles (EVs). Control of the operating environment and understanding of the influences of these interactions on battery performances are required to maximise their energy capacity and cycle life in EVs.
This paper presents a modified parameter diagram (P-diagram) which is a part of systematic effort to design a robust battery pack. In the modified P-diagram, the physical inputs that affect the performance of a battery pack are identified and categorised into noise factors and control factors, where the former limits the performance and the latter can be used to improve it. Different noise factors are conceptually analysed in conjunction with various control factors and graded according to their relative influence on the performance of a battery pack. The performance is measured in terms of ideal function output and potential error states. The error states are subsequently broken down into inherent losses and undesired response(s). With such systematic understanding, a robust battery back can be designed for EVs.
CitationArora, S., Shen, W., and Kapoor, A., "Designing a Robust Battery Pack for Electric Vehicles Using a Modified Parameter Diagram," SAE Technical Paper 2015-01-0041, 2015, https://doi.org/10.4271/2015-01-0041.
- Gerssen-Gondelach, S.J. and Faaij A.P.C., Performance of batteries for electric vehicles on short and longer term. Journal of Power Sources, 2012. 212: p. 111-129.
- Kambly, K.R. and Bradley T.H., Estimating the HVAC energy consumption of plug-in electric vehicles. Journal of Power Sources, 2014. 259: p. 117-124.
- Neubauer, J. and Wood E., The impact of range anxiety and home, workplace, and public charging infrastructure on simulated battery electric vehicle lifetime utility. Journal of Power Sources, 2014. 257: p. 12-20.
- Trovão, J.P., et al., A multi-level energy management system for multi-source electric vehicles - An integrated rule-based meta-heuristic approach. Applied Energy, 2013.
- Ramandi, M.Y., Dincer I., and Naterer G.F., Heat transfer and thermal management of electric vehicle batteries with phase change materials. Heat and Mass Transfer, 2011. 47(7): p. 777-788.
- Taguchi, G.a., Taguchi on robust technology development : bringing quality engineering upstream. Robust technology development : bringing quality engineering upstream, ed. p. American Society of Mechanical Engineers. 1993.
- Levy, S.C., Safety and reliability considerations for lithium batteries. Journal of Power Sources, 1997. 68(1): p. 75-77.
- Liaw, B.Y. and Dubarry M., From driving cycle analysis to understanding battery performance in real-life electric hybrid vehicle operation. Journal of Power Sources, 2007. 174(1): p. 76-88.
- Fritzsche, R., Using parameter-diagrams in automotive engineering. ATZ worldwide, 2006. 108(6): p. 17-21.
- Hooper, J.M. and Marco J., Characterising the in-vehicle vibration inputs to the high voltage battery of an electric vehicle. Journal of Power Sources, 2014. 245: p. 510-519.
- Hong, S.-K., Epureanu B.I., and Castanier M.P., Parametric reduced-order models of battery pack vibration including structural variation and prestress effects. Journal of Power Sources, 2014. 261: p. 101.
- Chacko, S. and Chung Y.M., Thermal modelling of Li-ion polymer battery for electric vehicle drive cycles. Journal of Power Sources, 2012. 213: p. 296-303.
- Alaoui, C. and Salameh Z.M., A novel thermal management for electric and hybrid vehicles. IEEE Transactions on Vehicular Technology, 2005. 54(2): p. 468-476.