With, the onset of the electrification of vehicles, battery life estimation has become a very important issue in the design and commercialization of vehicle electrification technologies. Designing and implementing algorithms to adequately predict battery life is essential for the wide-scale adoption of hybrid vehicles, i.e. both charge-sustaining electric vehicles (HEVs) and plug-in electric vehicles (PHEVs) and pure electric vehicles (EVs). In order to effectively design methods for predicting battery life, accurate and efficient modeling and simulation tools are required to support in the design, identification, and modeling of such methodologies and algorithms. In this paper, we will present a modeling and simulation tool that is intended to be used for battery life estimation in PHEV applications. The dynamic PHEV model is based on many years of development at The Ohio State University's Center for Automotive Research in Columbus OH. The focus of the paper is not so much on each individual vehicle component of the model, but on the design and implementation of the software model. In addition, we will present the design and implementation of parallelized Monte Carlo simulations completed on The Ohio Supercomputer Center using the software model. At the end of the paper, we will present some example results and metrics obtained from the simulation infrastructure that can be used for battery life estimation.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Battery life estimation in PHEV applications: A monte carlo simulation study


    Contributors:


    Publication date :

    2012


    Size :

    8 Seiten, 14 Bilder, 3 Tabellen, 10 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Virtual PHEV fleet study based on Monte Carlo simulation

    Gong, Qiuming | Online Contents | 2012


    Virtual PHEV fleet study based on Monte Carlo simulation

    Gong, Qiuming / Midlam-Mohler, Shawn / Marano, Vincenzo et al. | Tema Archive | 2012


    Virtual PHEV fleet study based on Monte Carlo simulation

    Gong,Q. / Midlam-Mohler,S. / Marano,V. et al. | Automotive engineering | 2012


    Simulation study on dual-cell battery power management for PHEV application

    Gu, Yingzhe / Kortschak, Bernhard / Zhou, Su et al. | Tema Archive | 2012


    EV and PHEV Battery Technologies

    Williamson, Sheldon S. | Springer Verlag | 2013