Objective Evaluation of Vehicle Driveability

List, Helmut; Schoeggl, Peter

doi:10.4271/980204

Cited by 91 publications

(28 citation statements)

References 1 publication

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“…This allows manufacturers to explicitly implement a particular driving experience into a vehicle's model range and thus influence a purchasing decision. Objective assessment of driving attributes is made possible using tools such as AVL-DRIVE™ (List and Schoeggl 1998; Schoeggl and Ramschak 2000; AVL-DRIVE 2019), allowing objective real-time assessment and quality control of attributes equivalent to a driver's perception. Procedures for the objective assessment of the highly subjective perception by a driver have been elaborated to define the evaluation method and underlying formulas.…”

Section: Objective Attribute Assessmentmentioning

confidence: 99%

Case Study: Vehicle Attribute Engineering

Oswald¹,

Kogler²

2020

Systems Engineering for Automotive Powertrain Development

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This case study explains how the principles and best practices of systems engineering are applied with the support of AVL's attribute engineering methodology. This methodology focuses on balancing vehicle level characteristics or attributes such as energy efficiency, driving experience and excitement, as well as on the development of the brand-specific DNA of a vehicle. Target setting is used alongside benchmarking results to support the decision for a vehicle concept including the optimum powertrain solutions with focus on attributes such as performance, drivability, range, and efficiency. Based on these defined attributes, a continuous gap analysis is performed throughout the entire development process up to final vehicle attribute validation. The virtual assessment methodology

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Section: Objective Attribute Assessmentmentioning

confidence: 99%

Case Study: Vehicle Attribute Engineering

Oswald¹,

Kogler²

2020

Systems Engineering for Automotive Powertrain Development

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“…The control strategies proposed in the literature are based on continuous-time models of torque generation and power-train dynamics. Oscillations are quantified in terms of either vehicle acceleration or vehicle jerk [52]- [54]. However, the closed-loop performance of such control strategies have not been deeply investigated when implemented on a real engine.…”

Section: A Fast Force Transientsmentioning

confidence: 99%

Automotive engine control and hybrid systems: challenges and opportunities

Balluchi¹,

Benvenuti²,

et al. 2000

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“…Despite the availability of a number of simulation tools, even today driveability of passenger cars is still evaluated by means of a considerable amount of experimental tests on prototypes to measure important variables like longitudinal acceleration and jerk [1]. Subjective judgement still plays an important role, but the trend is to translate metrics as shuffles, kicks, jerks, hesitations, oscillations and overshoots into objective evaluation criteria based on measurements [2].…”

Section: Introductionmentioning

confidence: 99%

A study on the role of powertrain system dynamics on vehicle driveability

Castellazzi

Tonoli

Amati

et al. 2017

Vehicle System Dynamics

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Vehicle driveability describes the complex interactions between the driver and the vehicle, mainly related to longitudinal vibrations. Today, a relevant part of the driveability process optimization is realized by means of track tests, which require a considerable effort due to the number of parameters (such as stiffness and damping components) affecting this behavior. The drawback of this approach is that it is carried on at a stage when a design iteration becomes very expensive in terms of time and cost. The objective of this work is to propose a light and accurate tool to represent the relevant quantities involved in the driveability analysis, and to understand which are the main vehicle parameters that influence the torsional vibrations transmitted to the driver. Particular attention is devoted to the role of the tire, the engine mount, the dual mass flywheel and their possible interactions. The presented non linear dynamic model has been validated in time and frequency domain and, through linearization of its non linear components, allows to exploit modal and energy analysis. Objective indexes regarding the driving comfort are additionally considered in order to evaluate possible driveability improvements related to the sensitivity of powertrain parameters.

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Objective Evaluation of Vehicle Driveability

Cited by 91 publications

References 1 publication

Case Study: Vehicle Attribute Engineering

Case Study: Vehicle Attribute Engineering

Automotive engine control and hybrid systems: challenges and opportunities

A study on the role of powertrain system dynamics on vehicle driveability

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