Development of a SIL, HIL and Vehicle Test-Bench for Model-Based Design and Validation of Hybrid Powertrain Control Strategies

Vora, Ashish; Wu, Hongyou; Wang, Chuang; Qian, Yili; Shaver, Gregory M.; Motevalli, Vahid; Meckl, Peter H.; Wasynczuk, Oleg; Zhang, Haiyan

doi:10.4271/2014-01-1906

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…In summary, xIL platforms can be considered real and/or virtual test media for performing Verification and Validation( V&V) of electronic and mechanical systems, composed of central electronic units, protection and power systems, sensors and actuators, and associated software. When dependent on the physical structure, these devices include drive and power control for the communication system and AC power supply [10]. The composite devices are real and of high significance to represent those present in the vehicle, have power systems and controllers to improve consolability and increase the ability to transfer information between CAN/LIN or CAN FD networks, depending on the application.…”

Section: Xil Applications and Tools Platform Modelmentioning

confidence: 99%

Validation of Automotive Centrals using Hardware in the Loop - BCM and Lights

Luciano

Saldanha

2023

Preprint

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The race for electrification and the need for innovation to attract customers has driven the automotive industry to do something different in vehicles, emerging emission control challenges and efficient technological availability are the pillars of innovation. With the need to upgrade industrial manufacturing systems, directly impacting vehicle production, established the search for new prototyping methodologies and use of virtual tools for testing, validation of components and vehicle systems are developed. The demand for electronic components control units (ECU) is growing, due to the availability of intelligence and security in today's vehicles, directly impacting their development and the performance and functionality tests. To meet this new reality, in addition to the automotive test prototypes used during development, the automotive industry has been using different virtual environments to produce, verify, and validate its vehicles. Therefore, this paper applied integration and validation using the HIL test platform, focusing on the ECU Body Control Unit (BCM), analyzing its functionalities and possible failures of the internal and external light loads. After, a brief commentary will be made exposing other test medium platforms given as the Plywood Buck (PWB), checking the reliability, flexibility, installation time, and costs of the three test platforms Software in the loop (SIL), Model in the loop (MIL), Hardware in the loop (HIL), in order to verify their advantages, challenges, and problems in the use and information to optimize the use of each platform and test medium.

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Section: Xil Applications and Tools Platform Modelmentioning

confidence: 99%

Validation of Automotive Centrals using Hardware in the Loop - BCM and Lights

Luciano

Saldanha

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In summary, xIL platforms can be considered real and/or virtual test media for performing Verification and Validation(V&V) of electronic and mechanical systems, composed of central electronic units, protection and power systems, sensors and actuators, and associated software. When dependent on the physical structure, these devices include drive and power control for the communication system and AC power supply [10]. The composite devices are real and of high significance to represent those present in the vehicle, have power systems and controllers to improve concealability and increase the ability to transfer information between CAN/LIN or CAN FD networks, depending on the application.…”

Section: Platform Modelmentioning

confidence: 99%

“…It is important to point out that the use of this tool has a lot of versatility and can, therefore, facilitate the execution of simple, or in some cases complex, updates. These updates depend on the needs of the validation team due to the emergence of some problem by design errors or even in the case that the component is completely new and updates are necessary for its better functioning [10]. In the case of a new project an impact study is performed, and all necessary documentation to perform the work is reviewed.…”

Section: Model Based Design Casementioning

confidence: 99%

Validation of automotive centrals using hardware in the loop -BCM and Lights

Luciano¹,

Saldanha²

2023

Global J. Eng. Technol. Adv.

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The race for electrification and the need for innovation to attract customers has driven the automotive industry to do something different in vehicles, emerging emission control challenges and efficient technological availability are the pillars of innovation. With the need to upgrade industrial manufacturing systems, directly impacting vehicle production, established the search for new prototyping methodologies and use of virtual tools for testing, validation of components and vehicle systems are developed. The demand for electronic components controls units (ECU) is growing, due to the availability of intelligence and security in today's vehicles, directly impacting their development and the performance and functionality tests. To meet this new reality, in addition to the automotive test prototypes used during development, the automotive industry has been using different virtual environments to produce, verify, and validate its vehicles. Therefore, this paper applied integration and validation using the HIL test platform, focusing on the ECU Body Control Unit (BCM), analyzing its functionalities and possible failures of the internal and external light loads. After, a brief commentary will be made exposing other test medium platforms given as the Plywood Buck (PWB), checking the reliability, flexibility, installation time, and costs of the three test platforms Software in the loop (SIL), Model in the loop (MIL) , Hardware in the loop (HIL), in order to verify their advantages, challenges, and problems in the use and information to optimize the use of each platform and test medium.

show abstract