Multi?frequency averaging (MFA) model of a generic electric vehicle powertrain suitable under variable frequency of averaging developed for remote operability

Sen, Surojit; Evans, Paul L.; Johnson, C. Mark

Abstract

© The Institution of Engineering and Technology 2020. Geographically distributed hardware-in-the-loop (HIL) testing has the potential to allow hybrid vehicle powertrain components (battery, motor drive, and engine) to be developed at geographically remote locations but tested concurrently and coupled. Inter-location internet communication links can allow non-ideal behaviour observed in a physical component in one location (e.g. an electrical drive) to be imposed on another physical component elsewhere (e.g. an ICE), and vice-versa. A key challenge is how to represent the behaviour of a remote, physical component under testing in a local HIL environment. Internet communications are too slow and unreliable to transmit waveforms in real-time and so one solution is to use a local 'slave' model whose behaviour and parameters are tuned based on observations at the remote location. This study proposes a multifrequency averaging (MFA) slave model of an electric motor drive system for use in this application; it addresses a weakness in previously published work by extending the MFA model to variable frequency operation. The model was benchmarked against experimental operation (and its equivalent simulation model) in open-loop and closed-loop space vector pulse-width modulation control strategy, fixed and variable frequency operation. Results show significant reconciliation of model and experiment.

Citation

Sen, S., Evans, P. L., & Johnson, C. M. (2020). Multi?frequency averaging (MFA) model of a generic electric vehicle powertrain suitable under variable frequency of averaging developed for remote operability. IET Electrical Systems in Transportation, 10(3), 268-274. https://doi.org/10.1049/iet-est.2019.0043

• Journal Article Type: Article
• Acceptance Date: Jan 10, 2020
• Online Publication Date: Feb 27, 2020
• Publication Date: Sep 1, 2020
• Deposit Date: Feb 4, 2020
• Publicly Available Date: Feb 27, 2020
• Journal: IET Electrical Systems in Transportation
• Print ISSN: 2042-9738
• Electronic ISSN: 2042-9746
• Publisher: Institution of Engineering and Technology
• Peer Reviewed: Peer Reviewed
• Volume: 10
• Issue: 3
• Pages: 268-274
• DOI: https://doi.org/10.1049/iet-est.2019.0043
• Keywords: Electrical and Electronic Engineering
• Public URL: https://nottingham-repository.worktribe.com/output/3878593
• Publisher URL: https://digital-library.theiet.org/content/journals/10.1049/iet-est.2019.0043