Analysis Lead Drivability Assessment

Walters, T.; Shaw, Phillip; Kumar, Manoj; Hoop, Joshua

doi:10.4271/2015-01-2804

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…A method that can quantitatively evaluate the driveability of heavy vehicles was proposed [8]. Walters et al evaluated the driveability of vehicles through the co-simulation method of the complex engine model and the vehicle dynamics model [9]. Lakshmanan et al proposed a subjective and objective evaluation method for the driveability of commercial vehicles [10].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Subjective Evaluation Method of Driveability for Fuel Cell Vehicles

Zhan,

Zhu,

Duan

et al. 2024

Energies

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Aiming at the demand for subjective evaluation of driveability for fuel cell vehicles, the modeling and evaluation method of driveability for fuel cell vehicles were studied in this paper. Firstly, a real-time model of the fuel cell vehicle powertrain system was established, which included the fuel cell model, power battery model, DC/DC converter model and drive motor model. Secondly, it was integrated with the vehicle dynamics model to form a virtual prototype of a fuel cell vehicle. And a virtual subjective evaluation platform for fuel cell vehicles was built by combining the virtual prototype and high-fidelity driving simulator. Thirdly, a subjective evaluation method of driveability for fuel cell vehicles was proposed, which included the starting performance, acceleration performance, uniform speed performance and tip-in/tip-out performance. Finally, the paper used the platform and method mentioned above to conduct subjective evaluations of the fuel cell vehicles.

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Section: Introductionmentioning

confidence: 99%

Modeling and Subjective Evaluation Method of Driveability for Fuel Cell Vehicles

Zhan,

Zhu,

Duan

et al. 2024

Energies

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show abstract

“…However, the information redundancy between objective indicators has not been considered. For the objective scoring models and methods, 24 fuzzy analytic hierarchy process (FAHP), 25 gray relational analysis (GRA), 26 and FCE 21 have good subjective and objective consistency for a single working condition, but their accuracy is limited and the different working condition types have a great influence on its evaluation accuracy. Based on learning methods, BP neural network 27 and optimal extreme learning machine (OELM) 21 can improve the consistency of subjective and objective to 95%.…”

Section: Introductionmentioning

confidence: 99%

A novel objective evaluation method of drivability for passenger cars considering subjective and objective consistency

Zhou

Guo

Zhang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this paper, aiming at the problems that the random mixed working conditions are difficult to identify, the insufficiency of drivability evaluation indicators system and the lack of robustness for the evaluation model, a novel objective evaluation method of drivability for passenger cars is proposed. First, combining the sliding time window method and Naive Bayesian model (NBM), a hybrid working condition recognition model of multi-source sensor information fusion is constructed, and the real vehicle test under random mixed working conditions shows that the accuracy of working condition identification can reach 95.6%. Then, the objective evaluation index for crawling conditions, starting conditions and tip-in conditions are studied according to the suggestions of subjective evaluation engineers, an objective indicator evaluation system considering expert knowledge and information redundancy between indicators is constructed, among them, R-type clustering and principal component analysis (PCA) are used to eliminate the information redundancy between objective indicators. Finally, based on the back propagation (BP) neural network to optimize the fuzzy membership function, an improved fuzzy comprehensive evaluation (Improve-FCE) method considering subjective and objective consistency is designed. Real vehicle test and analysis results demonstrate that the development of intelligent drivability objective evaluation tool (I-DOET) has good reliability and stability, the maximum subjective and objective relative error of the improved FCE model is 5.13%, and the pass rate reaches 93.3%.

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Research on Objective Drivability Evaluation with Multi-Source Information Fusion for Passenger Car

Zhou

Guo

Pei

et al. 2020

SAE Technical Paper Series

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Analysis Lead Drivability Assessment

Cited by 5 publications

References 6 publications

Modeling and Subjective Evaluation Method of Driveability for Fuel Cell Vehicles

Modeling and Subjective Evaluation Method of Driveability for Fuel Cell Vehicles

A novel objective evaluation method of drivability for passenger cars considering subjective and objective consistency

Research on Objective Drivability Evaluation with Multi-Source Information Fusion for Passenger Car

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