Scaling of hybrid electric vehicle powertrain components for hardware-in-the-loop simulation

Michael D. Petersheim, Sean N. Brennan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

Hardware in the loop (HIL) simulation enables experimental study of prototype hardware systems or control algorithms via real-time interaction between physical hardware and virtual simulations. As a result, this method is a particularly valuable tool for hybrid vehicle powertrain analysis. In the case where novel or prototype hardware is being examined, it is often necessary to scale the signals in and out of the prototype system in order to represent production-sized components. This scaling process is usually done in an adhoc manner. In this work, a formal method is presented that derives appropriate input/output signal conditioning to correctly scale electric vehicle components, namely the electric motor and battery subsystems.

Original languageEnglish (US)
Title of host publication17th IEEE International Conference on Control Applications, CCA
Pages720-726
Number of pages7
DOIs
StatePublished - Oct 13 2008
Event17th IEEE International Conference on Control Applications, CCA - San Antonio, TX, United States
Duration: Sep 3 2008Sep 5 2008

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Other

Other17th IEEE International Conference on Control Applications, CCA
CountryUnited States
CitySan Antonio, TX
Period9/3/089/5/08

Fingerprint

Hardware-in-the-loop Simulation
Hybrid Electric Vehicle
Powertrains
Hybrid vehicles
Hardware
Scaling
Prototype
Electric Motors
Electric Vehicle
Formal Methods
Electric batteries
Conditioning
Battery
Control Algorithm
Formal methods
Experimental Study
Electric motors
Subsystem
Electric vehicles
Real-time

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Mathematics(all)

Cite this

Petersheim, M. D., & Brennan, S. N. (2008). Scaling of hybrid electric vehicle powertrain components for hardware-in-the-loop simulation. In 17th IEEE International Conference on Control Applications, CCA (pp. 720-726). [4629602] (Proceedings of the IEEE International Conference on Control Applications). https://doi.org/10.1109/CCA.2008.4629602
Petersheim, Michael D. ; Brennan, Sean N. / Scaling of hybrid electric vehicle powertrain components for hardware-in-the-loop simulation. 17th IEEE International Conference on Control Applications, CCA. 2008. pp. 720-726 (Proceedings of the IEEE International Conference on Control Applications).
@inproceedings{8d930a3ab64d452eb8089d6307ec382a,
title = "Scaling of hybrid electric vehicle powertrain components for hardware-in-the-loop simulation",
abstract = "Hardware in the loop (HIL) simulation enables experimental study of prototype hardware systems or control algorithms via real-time interaction between physical hardware and virtual simulations. As a result, this method is a particularly valuable tool for hybrid vehicle powertrain analysis. In the case where novel or prototype hardware is being examined, it is often necessary to scale the signals in and out of the prototype system in order to represent production-sized components. This scaling process is usually done in an adhoc manner. In this work, a formal method is presented that derives appropriate input/output signal conditioning to correctly scale electric vehicle components, namely the electric motor and battery subsystems.",
author = "Petersheim, {Michael D.} and Brennan, {Sean N.}",
year = "2008",
month = "10",
day = "13",
doi = "10.1109/CCA.2008.4629602",
language = "English (US)",
isbn = "9781424422234",
series = "Proceedings of the IEEE International Conference on Control Applications",
pages = "720--726",
booktitle = "17th IEEE International Conference on Control Applications, CCA",

}

Petersheim, MD & Brennan, SN 2008, Scaling of hybrid electric vehicle powertrain components for hardware-in-the-loop simulation. in 17th IEEE International Conference on Control Applications, CCA., 4629602, Proceedings of the IEEE International Conference on Control Applications, pp. 720-726, 17th IEEE International Conference on Control Applications, CCA, San Antonio, TX, United States, 9/3/08. https://doi.org/10.1109/CCA.2008.4629602

Scaling of hybrid electric vehicle powertrain components for hardware-in-the-loop simulation. / Petersheim, Michael D.; Brennan, Sean N.

17th IEEE International Conference on Control Applications, CCA. 2008. p. 720-726 4629602 (Proceedings of the IEEE International Conference on Control Applications).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Scaling of hybrid electric vehicle powertrain components for hardware-in-the-loop simulation

AU - Petersheim, Michael D.

AU - Brennan, Sean N.

PY - 2008/10/13

Y1 - 2008/10/13

N2 - Hardware in the loop (HIL) simulation enables experimental study of prototype hardware systems or control algorithms via real-time interaction between physical hardware and virtual simulations. As a result, this method is a particularly valuable tool for hybrid vehicle powertrain analysis. In the case where novel or prototype hardware is being examined, it is often necessary to scale the signals in and out of the prototype system in order to represent production-sized components. This scaling process is usually done in an adhoc manner. In this work, a formal method is presented that derives appropriate input/output signal conditioning to correctly scale electric vehicle components, namely the electric motor and battery subsystems.

AB - Hardware in the loop (HIL) simulation enables experimental study of prototype hardware systems or control algorithms via real-time interaction between physical hardware and virtual simulations. As a result, this method is a particularly valuable tool for hybrid vehicle powertrain analysis. In the case where novel or prototype hardware is being examined, it is often necessary to scale the signals in and out of the prototype system in order to represent production-sized components. This scaling process is usually done in an adhoc manner. In this work, a formal method is presented that derives appropriate input/output signal conditioning to correctly scale electric vehicle components, namely the electric motor and battery subsystems.

UR - http://www.scopus.com/inward/record.url?scp=53349146417&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=53349146417&partnerID=8YFLogxK

U2 - 10.1109/CCA.2008.4629602

DO - 10.1109/CCA.2008.4629602

M3 - Conference contribution

AN - SCOPUS:53349146417

SN - 9781424422234

T3 - Proceedings of the IEEE International Conference on Control Applications

SP - 720

EP - 726

BT - 17th IEEE International Conference on Control Applications, CCA

ER -

Petersheim MD, Brennan SN. Scaling of hybrid electric vehicle powertrain components for hardware-in-the-loop simulation. In 17th IEEE International Conference on Control Applications, CCA. 2008. p. 720-726. 4629602. (Proceedings of the IEEE International Conference on Control Applications). https://doi.org/10.1109/CCA.2008.4629602