Study on HIL system of electric vehicle controller based on NI

Bo Li; Weina Wang; Long Jia; Dafang Wang; Anran Kong

doi:10.1088/1757-899X/382/5/052033

Study on HIL system of electric vehicle controller based on NI

Bo Li
, Weina Wang
, Long Jia
, Dafang Wang^*
, Anran Kong

^*Corresponding author for this work

Ltd.
Henan College of Transportation
Automotive Engineering College

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

The test platform is built based on LabVIEW to test Vehicle Control Unit (VCU) and Battery Management System (BMS), and their control strategies are tested by the experiments. Using a series of NI hardware products, data acquisition, CAN communication, fault injection unit and signal conditioning, the hardware in loop simulation test system are realized. In the RT system, real-time vehicle model and the battery model are generated by Simulink, and with real load, a vehicle simulation environment is established. Finally, not only is the test for VCU and BMS completed, but also joint debugging is implemented.

Original language	English
Article number	052033
Journal	IOP Conference Series: Materials Science and Engineering
Volume	382
Issue number	5
DOIs	https://doi.org/10.1088/1757-899X/382/5/052033
State	Published - 13 Jul 2018
Externally published	Yes
Event	2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation, AMIMA 2018 - , China Duration: 23 May 2018 → 26 May 2018

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10.1088/1757-899X/382/5/052033

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title = "Study on HIL system of electric vehicle controller based on NI",

abstract = "The test platform is built based on LabVIEW to test Vehicle Control Unit (VCU) and Battery Management System (BMS), and their control strategies are tested by the experiments. Using a series of NI hardware products, data acquisition, CAN communication, fault injection unit and signal conditioning, the hardware in loop simulation test system are realized. In the RT system, real-time vehicle model and the battery model are generated by Simulink, and with real load, a vehicle simulation environment is established. Finally, not only is the test for VCU and BMS completed, but also joint debugging is implemented.",

author = "Bo Li and Weina Wang and Long Jia and Dafang Wang and Anran Kong",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation, AMIMA 2018 ; Conference date: 23-05-2018 Through 26-05-2018",

year = "2018",

month = jul,

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journal = "IOP Conference Series: Materials Science and Engineering",

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T1 - Study on HIL system of electric vehicle controller based on NI

AU - Li, Bo

AU - Wang, Weina

AU - Jia, Long

AU - Wang, Dafang

AU - Kong, Anran

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2018/7/13

Y1 - 2018/7/13

N2 - The test platform is built based on LabVIEW to test Vehicle Control Unit (VCU) and Battery Management System (BMS), and their control strategies are tested by the experiments. Using a series of NI hardware products, data acquisition, CAN communication, fault injection unit and signal conditioning, the hardware in loop simulation test system are realized. In the RT system, real-time vehicle model and the battery model are generated by Simulink, and with real load, a vehicle simulation environment is established. Finally, not only is the test for VCU and BMS completed, but also joint debugging is implemented.

AB - The test platform is built based on LabVIEW to test Vehicle Control Unit (VCU) and Battery Management System (BMS), and their control strategies are tested by the experiments. Using a series of NI hardware products, data acquisition, CAN communication, fault injection unit and signal conditioning, the hardware in loop simulation test system are realized. In the RT system, real-time vehicle model and the battery model are generated by Simulink, and with real load, a vehicle simulation environment is established. Finally, not only is the test for VCU and BMS completed, but also joint debugging is implemented.

UR - https://www.scopus.com/pages/publications/85050566453

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DO - 10.1088/1757-899X/382/5/052033

M3 - 会议文章

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SN - 1757-8981

VL - 382

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

IS - 5

M1 - 052033

T2 - 2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation, AMIMA 2018

Y2 - 23 May 2018 through 26 May 2018

ER -

Study on HIL system of electric vehicle controller based on NI

Abstract

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