Optimization of Tip-In Response Character of Sports Utility Vehicle and Verification with Objective Methodology

Jayaraman, Harinarayanan; Rao, N. Bhaskara; Muthiah, Saravanan; Mohan, Sreeekanth

doi:10.4271/2015-01-1354

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…In 2007, a series of drivability indicators for engine start conditions were proposed by AVL, but only a few evaluation indicators were published [5]. Jayaraman et al [6] constructed a drivability index system for 9 working conditions such as engine start, shut-off, starting, and full-throttle acceleration; however, only some evaluation indexes are given. Khodabakhshian et al [7] proposed that the drivability of the vehicle can be improved by optimizing the shift strategy and established the mapping relationship between the evaluation index and the control parameters.…”

Section: Introductionmentioning

confidence: 99%

Objective Evaluation of Drivability in Passenger Cars with Dual-Clutch Transmission: A Case Study of Static Gearshift Condition

Zhou

Guo

Pei

et al. 2020

Mathematical Problems in Engineering

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This paper is aimed at the problem that the subjective drivability evaluation by experienced test drivers is limited in time efficiency and is of high cost and poor repeatability. In this article, an intelligent drivability objective evaluation tool (I-DOET) for passenger cars with dual-clutch transmission (DCT) is developed and verified by real vehicle testing. First, the signal denoising method and its key parameters, which are suitable for drivability evaluation, are selected based on analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). Besides, combined with the uncertainty characteristics of subjective judgment, a mathematical model of the objective drivability evaluation FARODE (fuzzy AHP-RS based on objective drivability evaluation) is proposed by using the fuzzy comprehensive assessment (FCA) method. The AHP and rough set (RS) method are used to calculate the subjective and objective weights of the drivability evaluation, respectively, and the proportion of subjective and objective weights is determined by the principle of minimum relative information entropy. The fuzzy matrix is built by membership function of the evaluation indexes. Finally, the static gearshift condition focused on by the subjective evaluation experts is taken as a case study. The predictability score is obtained by combining the drivability quantization lever vector, comprehensive weight, and fuzzy matrix. The experimental results indicate that the proposed method is applicable for objective drivability evaluation in passenger cars with DCT.

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Section: Introductionmentioning

confidence: 99%

Objective Evaluation of Drivability in Passenger Cars with Dual-Clutch Transmission: A Case Study of Static Gearshift Condition

Zhou

Guo

Pei

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…As for the research on evaluation indexes of vehicle drivability in the tip-in condition, the clunk and shuffle phenomena of the vehicle in tip-in condition had been analyzed by Krenz (1985) and Choi et al (2003), and they proposed the control strategy through the experiment. Jayaraman et al (2015) had highlighted that response delays provided a critical index of the drivability evaluation in tip-in condition. The jerk was an important index of vehicle comfort, as found in the studies by Guclu and Metin (2009) and Shiozaki et al (2012).…”

Section: Introductionmentioning

confidence: 99%

Application of fuzzy dynamic weights drivability evaluation model in tip-in condition

Huang

Liu

2018

Journal of Vibration and Control

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Only the subjective or objective method is employed to calculate the index weight in the evaluation of drivability, which makes the evaluation result less accurate. In this paper, a drivability evaluation model was proposed on the basis of fuzzy dynamic weights, and the drivability was evaluated in tip-in conditions. The evaluation indexes affecting drivability in tip-in conditions were determined using multi-dimensional analysis. The dynamic weight was built using an improved analytic hierarchy process and improved entropy method in accordance with the principle of “function driving and difference driving.” The fuzzy matrix was built by drawing upon the improved membership function of the evaluation index. Finally, the drivability evaluation model of the tip-in condition was built with dynamic weight and fuzzy matrix. The evaluation model was employed to evaluate the drivability of the vehicle, which obtained the drivability score. As the experiment results suggest, the evaluation model is accurate and effective in comparison with the real score and the score obtained from the fuzzy analytic hierarchy process. The evaluation model is employed to formulate a control strategy for a vehicle that will allow better drivability. Besides, the method makes the performance development of the vehicle more knowledgeable and agile.

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“…Hence, studies have been devoted to identifying the correlation between measurable vehicle powertrain response indices and the quantification of the driver's subjective perception [8]. Furthermore, commercial test tools such as AVL Drive (AVL LIST GmbH, Hans-List-Platz 1, Graz, Austria) can automatically measure a vehicle's powertrain response indices and then infer the overall drivability rating [9]. In this paper, we primarily discuss the design of the mode transition controller, and therefore the term 'drivability' directly denotes a vehicle's powertrain response indices.…”

Section: Introductionmentioning

confidence: 99%

Drivability-Related Discrete-Time Model Predictive Control of Mode Transition in Pre-Transmission Parallel Hybrid Powertrains

Guo

Yan

2016

Energies

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During the mode transition from the pure electric propulsion mode to the hybrid propulsion mode, clutch-based pre-transmission parallel hybrid electric vehicles are subject to drivability issues. These issues originate from the fact that in the clutch-based pre-transmission parallel hybrid powertrain (CPPHP) configuration, the clutch connects the engine and the motor. Without a carefully designed mode transition control that coordinates the engine torque, clutch torque and motor torque, torque sluggishness and surges occur during the mode transition, and residual torque oscillation occurs after the mode transition. In this paper, a discrete-time model predictive control (DMPC)-based controller is proposed to address these drivability-related issues. Modeling improvements and novel drivability-related indices and constraints are all taken into consideration in the design of the discrete-time model predictive controller. Furthermore, by using discrete-time Laguerre functions and introducing the equilibrium state and the ranking of constraints, an explicit solution of the discrete-time model predictive controller is obtained. The calculation results demonstrate that the proposed controller can ensure a smooth and rapidly decaying torque difference during the mode transition, alleviating the residual torque oscillation after the mode transition and guaranteeing that the mode transition is completed within an acceptable duration.

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Optimization of Tip-In Response Character of Sports Utility Vehicle and Verification with Objective Methodology

Cited by 6 publications

References 6 publications

Objective Evaluation of Drivability in Passenger Cars with Dual-Clutch Transmission: A Case Study of Static Gearshift Condition

Objective Evaluation of Drivability in Passenger Cars with Dual-Clutch Transmission: A Case Study of Static Gearshift Condition

Application of fuzzy dynamic weights drivability evaluation model in tip-in condition

Drivability-Related Discrete-Time Model Predictive Control of Mode Transition in Pre-Transmission Parallel Hybrid Powertrains

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