Validation of Automotive Centrals Using Hardware in the Loop-Body Control Unit and Lights
Authors: Marley Rosa Luciano, Rodney Rezende Saldanha
Abstract:
The race for electrification and the need for innovation to attract customers has led the automotive industry to do something different with vehicles. New emissions control challenges and efficient technological availability are the pillars of creation. The growing demand to upgrade industrial manufacturing systems creates actions that directly impact vehicle production. With this comes the search for new prototyping methods and virtual tools for component testing and validation, and vehicle systems have established themselves. The demand for Electronic Control Units (ECU) is increasing due to the availability of intelligence and safety in today's vehicles, directly affecting their development, performance, and functional testing. In order to keep up with global changes, the automotive industry uses different virtual environments to produce, verify and validate their vehicles and test prototypes used during development. Therefore, in this paper, integration and validation were performed using the Hardware in the Loop (HIL) test platform, focusing on the ECU Body Control Module (BCM). Then, a brief commentary reviews other test medium platforms, such as the Plywood Buck (PWB), and examines the reliability, flexibility, installation time, and cost of the three test platforms, software in the loop (SIL), Model in the loop (MIL), and HIL, to review their benefits, challenges, and issues in use and information to optimize the use of each platform and test medium.
Keywords: Automotive, Electronic Central Unit, xIL, Hardware in the loop.
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[1] Du J, Wang W, Yang C, Wang H. Hardware-in-the-loop simulation approach to testing controllers of sequential turbocharging systems. In: Proceedings of the IEEE international conference on automation and logistics. 2007.
[2] Luiz Gustavo G. Soeiro; Braz J. Cardoso Filho; Luís Carlos M. Sales. “Comparison of Two Alternator Models for a Vehicle Electric Power Balance Simulation” IECON 2019 45th Annual Conference of the IEEE Industrial Electronics Society. DOI:10.1109/IECON.2019.8927483 (Soeiro & Braz & Sales, 2019)
[3] Hwang T, Rohl J, Park K, Hwang J, Lee KH, Lee K., et al. Development of hils systems for active brake control systems. In: SICE–ICASE international joint conference. 2006.
[4] DSpace Company Solutions & Products SCALEXIO Modular real-time system. Digital Image Accessed on September 20, 2022. https://www.dspae.com/en/pub/home/products/hw/simulator_hardware/scalexio.cfm
[5] Wittmann, Christian. Comparison of the deviations between MiL, SiL, and HiL testing. Diss. Technische Hochschule Ingolstadt, 2020.
[6] Moraes, Diogo Pereira, Hardware, Infrastructure. Loop for functional testing of remote monitoring systems. 2017. Doctoral Thesis. University Federal of Pernambuco.
[7] Toda, Hidekuni, et al. "HIL test of power system frequency control by electric vehicles." Proceedings of the last E-Mobility Power System Integration Symposium. 2017
[8] Stellantis Stellantis media: xIL and inaugurated platform application, 07, 2019 Accessed September 25, 2022, at https://media.stellantisnorthamerica.com/newsrelease.do?id=21259&mid
[9] Joshi, Adit. Powertrain and Chassis Hardware-in-the-Loop (HIL) Simulation of Autonomous Vehicle Platform. No. 2017-01-1991. SAE Technical Paper, 2017C. J. Kaufman, Rocky Mountain Research Lab., Boulder, CO, private communication, May 1995.
[10] Vora, Ashish, et al. Development of a SIL, HIL, and vehicle test-bench for model-based design and validation of hybrid powertrain control strategies. No. 2014-01-1906. SAE Technical Paper, 2014.
[11] Liu, Chuan Lian Zi, et al. Model Integration and Hardware-in-the-Loop (HiL) Simulation Design for the Testing of Electric Power Steering Controllers. No. 2016-01-0029. SAE Technical Paper, 2016.
[12] Ramaswamy, Deepa, et al. A case study in hardware-in-the-loop testing: Development of an ECU for a hybrid electric vehicle. No. 2004-01-0303. SAE Technical Paper, 2004.
[13] Allen, Jace L., and Benjamin Hager. "Simulation and Closed-Loop Testing of Camera, Radar, and Lidar Sensors for Highly Automated Verification and Validation of Data Fusion Systems." AIAA Scitech 2020 Forum. 2020.
[14] Kelemenová, Tatiana, et al. "Model-based design and HIL simulations." American Journal of Mechanical Engineering 1.7 (2013): 276–281.
[15] Schuette H, Waeltermann P. Hardware-in-the-loop testing of vehicle dynamics controllers, a technical survey, SAE paper 2005- 01–1660. 2005.