FIEEV: A co-simulation framework for Fault Injection in electrical vehicles

Silveira, Alexandre Miguel Marques da; Araújo, Rui Esteves; Castro, Ricardo de

doi:10.1109/icves.2012.6294254

Cited by 10 publications

(6 citation statements)

References 12 publications

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“…Moreover, no controllability values are estimated and no concept phase issues are tackled. The most similar work to ours, it is addressed by Silveira et al [9] who described a co-simulation framework including Matlab and CarSim (vehicle dynamics) for evaluating the stability of electrical vehicles using FI. However, this latter work did not analyse controllability challenges and fail-operational issues, which are relevant factors for automated driving.…”

Section: Introductionmentioning

confidence: 99%

Safety assessment of automated vehicle functions by simulation-based fault injection

Juez

Calonge

Lattarulo

et al. 2017

2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES)

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As automated driving vehicles become more sophisticated and pervasive, it is increasingly important to assure its safety even in the presence of faults. This paper presents a simulation-based fault injection approach (Sabotage) aimed at assessing the safety of automated vehicle functions. In particular, we focus on a case study to forecast fault effects during the model-based design of a lateral control function. The goal is to determine the acceptable fault detection interval for permanent faults based on the maximum lateral error and steering saturation. In this work, we performed fault injection simulations to derive the most appropriate safety goals, safety requirements, and fault handling strategies at an early concept phase of an ISO 26262-compliant safety assessment process.

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Section: Introductionmentioning

confidence: 99%

Safety assessment of automated vehicle functions by simulation-based fault injection

Juez

Calonge

Lattarulo

et al. 2017

2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES)

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“…This is of particular interest when calculating critical parameters such as the Fault Tolerant Time Interval (FTTI), which is directly related to the controllability of the vehicle. In [6], Silveira introduced a Matlab/Simulink-based co-simulation framework for evaluating the stability of electrical vehicles using fault injection. This latter work did not analysed controllability challenges and failoperational issues, which are relevant factors for automated driving.…”

Section: Introductionmentioning

confidence: 99%

Fault injection method for safety and controllability evaluation of automated driving

Uriagereka

Lattarulo

Rastelli

et al. 2017

2017 IEEE Intelligent Vehicles Symposium (IV)

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Advanced Driver Assistance Systems (ADAS) and automated vehicle applications based on embedded sensors have become a reality today. As road vehicles increase its autonomy and the driver shares its role in the control loop, novel challenges on their dependability assessment arise. One key issue is that the notion of controllability becomes more complex when validating the robustness of the automated vehicle in the presence of faults. This paper presents a simulation-based fault injection approach aimed at finding acceptable controllability properties for the model-based design of control systems. We focus on determining the best fault models inserting exceptional conditions to accelerate the identification of specific areas for testing. In our work we performed fault injection method to find the most appropriate safety concepts, controllability properties and fault handling strategies at early design phases of lateral control functions based on the error in the Differential GPS signal.

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“…To investigate the fault impacts on the stability of EVs, Silveria [1] et al developed a fault injection environment for EVs by Matlab/Simulink which linked with a complete vehicle model in the CarSim software. Nussbaumer et al [2] presented simulation results for a four-wheel-drive EV under fault condition of any single electric drive, such as a suddenly occurring negative torque or a torque ripple.…”

Section: Introductionmentioning

confidence: 99%

Vehicle stability control with electric propulsion failure for an electric vehicle driven by multiple motors

Chong

Yang

2015

2015 IEEE 12th International Conference on Networking, Sensing and Control

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This paper proposes a vehicle stability control (VSC) during the electric propulsion failure of an electric vehicle (EV). This EV is driven by three traction motors; one traction motor is responsible for two front wheels, while two wheel motors are responsible for rear wheels. When any one of the traction motors fails, the proposed VSC calculates new torque distribution according to a direct yaw-moment controller and a slip ratio controller. This VSC strategy is implemented in a digital signal processor. A real-time hardware-in-the-Ioop test is then performed on a dynamometer with a motor acting as one of the rear wheel motors, while the EV and other two traction motors are modeled with commercially available simulation tools.Experimental results show that the proposed VSC strategy is able to keep the EV safe and stable after its electric propulsion failure is detected.Keywords-Vehicle stability control; electric vehicle; electric propulsion failure; hardware-in-the-loop test.

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FIEEV: A co-simulation framework for Fault Injection in electrical vehicles

Cited by 10 publications

References 12 publications

Safety assessment of automated vehicle functions by simulation-based fault injection

Safety assessment of automated vehicle functions by simulation-based fault injection

Fault injection method for safety and controllability evaluation of automated driving

Vehicle stability control with electric propulsion failure for an electric vehicle driven by multiple motors

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