Analysis and optimisation of objective vehicle dynamics testing in winter conditions

Gómez, Gaspar L. Gil; Lönnergård, Alexander; Asher, Mohit Hemant; Nybacka, Mikael; Bakker, Egbert; Drugge, Lars

doi:10.1080/00423114.2016.1278248

Cited by 7 publications

(4 citation statements)

References 7 publications

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“…The higher snow friction limit may have also led to a lower SWRR deg in the CLV manoeuvre for the simulator since the task in the simulator may have been easier. This is in line with research from Gómez et al (Gil Gómez et al, 2017) in which reduction of the available friction led to less repetitive results and that changes in the real world surface condition could cause a large spread of the data. The decrease in mean radius in the CLV manoeuvre could be due to the higher friction level or possibly due to perceptual differences between the simulator and the real world since the driver was asked to drive half a car width away from the cones.…”

Section: Discussionsupporting

confidence: 89%

“…Denoual et al studied (Denoual et al, 2011) loss of adherence and found that drivers were able to discriminate between difference friction levels and that both steering and motion cues were important in identifying the loss of adherence. Others have performed validation of the vehicle models without the driver in the loop (Gil Gómez et al, 2017;Gomez et al, 2016).…”

Section: Review Of the Literaturementioning

confidence: 99%

See 1 more Smart Citation

An objective assessment of the utility of a driving simulator for low mu testing

Romano

Markkula

Boer

et al. 2019

Transportation Research Part F: Traffic Psychology and Behaviou

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Section: Discussionsupporting

confidence: 89%

Section: Review Of the Literaturementioning

confidence: 99%

An objective assessment of the utility of a driving simulator for low mu testing

Romano

Markkula

Boer

et al. 2019

Transportation Research Part F: Traffic Psychology and Behaviou

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“…In terms of the powertrain module, we design a joint simulation in the battery and motor and integrate it into the vehicle simulation platform. To simulate the transient characteristic of the motor, we use the PMSM (permanent magnet synchronous motor) model to replace the traditional mapped motor model, which can describe the state of the motor in case of failure under extreme conditions [11]. The proposed model can simulate the electric part accurately for electric vehicles, which is not complete in traditional vehicle simulation software.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Simulation of Permanent Magnet Synchronous Motor (PMSM) Electric Vehicle Based on Simulink

et al. 2022

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As an important component of vehicle design and energy conservation, electric vehicle dynamics simulation is essential, especially under complicated testing conditions. The current commercial vehicle simulation software is mostly used for fuel vehicle dynamics simulation, which lacks accurate electric powertrain parts and open sources. To address this problem, this paper proposes an open-source and flexible vehicle dynamics simulation platform that includes 27 degrees of freedom (DOFs) based on Simulink, which can compatibly support both traditional vehicle dynamics simulations and electric vehicle dynamics simulations. In addition, the platform can support module customization, which is convenient for researchers. Although this platform still needs some iterations to reach industrial and commercial standards, it can already achieve parameter consistency under the stability demands in general scenarios. We believe this work should receive research attention and participation to provide lower thresholds and more references to the dynamic simulation of electric vehicles to reduce vehicle energy consumption.

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“…Vehicle winter tests for vehicle handling are analyzed and optimized in Gil G omez et al (2017). It is difficult for engineers to acquire repeatable and high signal-to-noise data under winter tests.…”

Section: Introductionmentioning

confidence: 99%

Subjective assessment for an advanced driver assistance system: a case study in China

2022

JICV

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Purpose This study aims to propose a novel subjective assessment (SA) method for level 2 or level 2+ advanced driver assistance system (ADAS) with a customized case study in China. Design/methodology/approach The proposed SA method contains six dimensions, including perception, driveability and stability, riding comfort, human–machine interaction, driver workload and trustworthiness and exceptional operating case, respectively. And each dimension subordinates several subsections, which describe the corresponding details under this dimension. Findings Based on the proposed SA, a case study in China is conducted. Six drivers with different driving experiences are invited to give their subjective ratings for each subsection according to a predefined rating standard. The rating results show that the ADAS from Tesla outperforms the upcoming electric vehicle in most cases. Originality/value The proposed SA method is beneficial for the original equipment manufacturers developing related technologies in the future.

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Analysis and optimisation of objective vehicle dynamics testing in winter conditions

Cited by 7 publications

References 7 publications

An objective assessment of the utility of a driving simulator for low mu testing

An objective assessment of the utility of a driving simulator for low mu testing

Dynamic Simulation of Permanent Magnet Synchronous Motor (PMSM) Electric Vehicle Based on Simulink

Subjective assessment for an advanced driver assistance system: a case study in China

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