Automated Real-Time Testing of Electronic Control Units

Krisp, Holger; Lamberg, Klaus; Leinfellner, Robert

doi:10.4271/2007-01-0504

Cited by 19 publications

(1 citation statement)

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“…Among the benefits of HIL simulation is its ability to replace preliminary field tests with safer, faster, and more rigorous automated tests. In addition, extreme or unusual situations can be simulated on demand and replicated precisely, enabling the repeated simulation of cold-start engine tests in the summer, for example [18]. It is for these reasons that HIL testing has continued to increase in popularity.…”

Section: Evaluation Using a Driving Simulatormentioning

confidence: 99%

Development of an Advanced Fuzzy Active Steering Controller and a Novel Method to Tune the Fuzzy Controller

Jalali¹,

McPhee²,

Lambert³

2013

SAE Int. J. Passeng. Cars – Electron. Electr. Syst.

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A two-passenger, all-wheel-drive urban electric vehicle (AUTO21EV) with four direct-drive in-wheel motors has been designed and developed at the University of Waterloo. An advanced genetic-fuzzy active steering controller is developed based on this vehicle platform. The rule base of the fuzzy controller is developed from expert knowledge, and a multicriteria genetic algorithm is used to optimize the parameters of the fuzzy active steering controller. To evaluate the performance of this controller, a computational model of the AUTO21EV is driven through several standard test maneuvers using an advanced path-following driver model. As the final step in the evaluation process, the genetic-fuzzy active steering controller is implemented in a hardware-and operator-in-the-loop driving simulator to confirm its performance and effectiveness.

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Section: Evaluation Using a Driving Simulatormentioning

confidence: 99%