@inproceedings{shidore_battery_2014,
	title = {Battery in the loop: {Battery} evaluation in a systems context},
	url = {https://anl.box.com/s/h2wjsd6be6ned0dg9z92z57z9dhmw9mg},
	doi = {10.1109/ITEC.2014.6861865},
	abstract = {System simulation and hardware component in the loop are key steps in the model-based system engineering (MBSE) process that seeks to shorten the development time of advanced powertrain technologies. Battery Component in the Loop (BCIL), also commonly abbreviated as Battery in the Loop (BIL), is an important step in the evaluation of advanced prototype batteries for electrified vehicles. This paper discusses the possible experiments that can be performed with BIL in order to evaluate the battery in a vehicle systems context (battery focused), and to evaluate the vehicle-level impact of different battery scenarios (vehicle focused). The paper then details the numerous steps necessary in the setup of BIL, including system simulation and virtual vehicle development, hardware setup, closed loop control development, and actual battery evaluation in a virtual vehicle environment. BIL was used to evaluate a prototype 48-V battery developed by Samsung SDI. The virtual vehicle was developed in Autonomie, Argonne National Laboratory's vehicle system simulation software. A mean value engine model developed in AMESim was integrated in the virtual vehicle model and targeted to a dSPACE system for BIL evaluation of the real battery pack. The system evaluation of the Samsung SDI battery will be used to describe the BCIL process throughout the paper.},
	urldate = {2019-08-22},
	booktitle = {{IEEE} {Conference} {Publication}},
	author = {Shidore, Neeraj and Kim, Namdoo and Vijayagopal, Ram and Lee, Daeheung and Rousseau, Aymeric and Kwon, Jason and Honel, Benoit and Haggard, Eric},
	month = jun,
	year = {2014},
	keywords = {Autonomie, Vehicle systems},
}

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This paper discusses the possible experiments that can be performed with BIL in order to evaluate the battery in a vehicle systems context (battery focused), and to evaluate the vehicle-level impact of different battery scenarios (vehicle focused). The paper then details the numerous steps necessary in the setup of BIL, including system simulation and virtual vehicle development, hardware setup, closed loop control development, and actual battery evaluation in a virtual vehicle environment. BIL was used to evaluate a prototype 48-V battery developed by Samsung SDI. The virtual vehicle was developed in Autonomie, Argonne National Laboratory's vehicle system simulation software. A mean value engine model developed in AMESim was integrated in the virtual vehicle model and targeted to a dSPACE system for BIL evaluation of the real battery pack. The system evaluation of the Samsung SDI battery will be used to describe the BCIL process throughout the paper.","urldate":"2019-08-22","booktitle":"IEEE Conference Publication","author":[{"propositions":[],"lastnames":["Shidore"],"firstnames":["Neeraj"],"suffixes":[]},{"propositions":[],"lastnames":["Kim"],"firstnames":["Namdoo"],"suffixes":[]},{"propositions":[],"lastnames":["Vijayagopal"],"firstnames":["Ram"],"suffixes":[]},{"propositions":[],"lastnames":["Lee"],"firstnames":["Daeheung"],"suffixes":[]},{"propositions":[],"lastnames":["Rousseau"],"firstnames":["Aymeric"],"suffixes":[]},{"propositions":[],"lastnames":["Kwon"],"firstnames":["Jason"],"suffixes":[]},{"propositions":[],"lastnames":["Honel"],"firstnames":["Benoit"],"suffixes":[]},{"propositions":[],"lastnames":["Haggard"],"firstnames":["Eric"],"suffixes":[]}],"month":"June","year":"2014","keywords":"Autonomie, Vehicle systems","bibtex":"@inproceedings{shidore_battery_2014,\n\ttitle = {Battery in the loop: {Battery} evaluation in a systems context},\n\turl = {https://anl.box.com/s/h2wjsd6be6ned0dg9z92z57z9dhmw9mg},\n\tdoi = {10.1109/ITEC.2014.6861865},\n\tabstract = {System simulation and hardware component in the loop are key steps in the model-based system engineering (MBSE) process that seeks to shorten the development time of advanced powertrain technologies. 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A mean value engine model developed in AMESim was integrated in the virtual vehicle model and targeted to a dSPACE system for BIL evaluation of the real battery pack. 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