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Designing a Robust Battery Pack for Electric Vehicles Using a Modified Parameter Diagram
Technical Paper
2015-01-0041
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
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.
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Authors
Citation
Arora, 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.Also In
References
- 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 212 111 129
- Kambly , K.R. and Bradley T.H. Estimating the HVAC energy consumption of plug-in electric vehicles. Journal of Power Sources 2014 259 117 124
- 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 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 7 777 788
- 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 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 76 88
- Fritzsche , R. Using parameter-diagrams in automotive engineering. ATZ worldwide 2006 108 6 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 245 510 519
- 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 261 101
- Chacko , S. and Chung Y.M. Thermal modelling of Li-ion polymer battery for electric vehicle drive cycles. Journal of Power Sources 2012 213 296 303
- Alaoui , C. and Salameh Z.M. A novel thermal management for electric and hybrid vehicles. IEEE Transactions on Vehicular Technology 2005 54 2 468 476