Measuring Vehicle Driveability

Everett, Robert L.

doi:10.4271/710137

Cited by 24 publications

(4 citation statements)

References 10 publications

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“…The first comprehensive dissertations published in the field of drivability support this claim [15,22,56,111]. Nevertheless, specific literature was added later in exceptional cases to provide essential information to the presented research queries (such as [53]). The initial search, carried out on October 10th, 2021, on Scopus used the following search string: All results during the PRISMA workflow's identification, screening and inclusion phase are presented in appendix A (Fig.…”

Section: Methodical Approachmentioning

confidence: 92%

“…In this context, drivability refers to the subjective feeling of the vehicle's response to the driver's inputs focussing on vehicle longitudinal dynamics [53]. Concerning the increasing demand for control unit functions, so-called comfort functions are implemented to get an optimum tradeoff between agile, spontaneous vehicle response, efficient powertrain usage, and convenient, steady driving.…”

Section: Drivability: An Exemplary Area Of Application For Virtual Va...mentioning

confidence: 99%

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Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

2023

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For the last two decades, an extensive transition in automotive X-in-the-loop activities from isolated electronic control units to real-time related, geographically distributed validation tasks has occurred. Benefits are strengthening frontloading, enabling concurrent engineering and reducing prototypes and testing efforts. As a downside, comprehensive system understanding and adequate simulation models must be provided. New technological trends like software-over-the-air-updates denote a continuous validation process even after the start of production. The present review focuses on the virtual validation of vehicle longitudinal dynamics. This exemplary field of application receives more and more attention as electrification of the vehicle powertrain accelerates, and this property directly influences the vehicle DNA. A systematic review process based on the PRISMA workflow has been conducted, focusing on drivabilityrelated powertrain applications. The investigation reveals the following trends: First, increasing complexity of virtualisation methods and models for validation activities influenced by vehicle-to-everything and geographically distributed development. Second, missing standards for virtual validation and proof of representativeness for combined real-virtual testing. In addition, many studies only contemplate the advantages of hardware-in-the-loop-driven development, disregarding crucial limitations and risks for such approaches. In conclusion, there is no longer the question of whether to validate virtually but how to comprehensible realise virtual validation.

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Section: Methodical Approachmentioning

confidence: 92%

Section: Drivability: An Exemplary Area Of Application For Virtual Va...mentioning

confidence: 99%

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

2023

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“…Different tools and methods have been developed and applied [7][8][9][10]. While earlier studies were focusing on the impact of the internal combustion engine (ICE) and its exhaust after-treatment systems [11], newer studies investigate all kinds of potential effects created by drivetrain components and their control strategies (e.g., transmissions and electric motors). Nowadays, objective rating systems are used for motorcycles [12], full-hybrids [13,14] as well as commercial heavy-duty trucks [15,16].…”

Section: Introductionmentioning

confidence: 99%

Objective Rating of the Launch Behavior of Conventional, Hybrid and Electric Vehicles

2021

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The calibration of conventional, hybrid and electric drivetrains is an important process during the development phase of any vehicle. Therefore, to optimize the comfort and dynamic behavior (known as driveability), many test drives are performed by experienced drivers during different driving maneuvers, e.g., launch, re-launch or gear shift. However, the process can be kept more consistent and independent of human-based deviations by using objective ratings. This study first introduces an objective rating system developed for the launch behavior of conventional vehicles with automatic transmission, dual-clutch transmission, and alternative drivetrains. Then, the launch behavior, namely comfort and dynamic quality, is compared between two conventional vehicles, a plug-in hybrid electric vehicle and a battery electric vehicle. Results show the benefits of pure electric drivetrains due to the lack of launch and shifting elements, as well as the usage of a highly dynamic electric motor. While the plug-in hybrid achieves a 10% higher overall rating compared to the baseline conventional vehicle, the pure electric vehicle even achieves a 21% higher overall rating. The results also highlight the optimization potential of battery electric vehicles regarding their comfort and dynamic characteristics. The transitions and the gradient of the acceleration build-up have a major influence on the launch quality.

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“…These scenarios are also shown in Figure 1.4, which are taken into consideration Edmunds overall ratings for a few vehicles, [1] to assess the drivability of the vehicle. Study in [8] was one of the earliest papers to define drivability and effect of emission control strategies on the drivability of vehicle.…”

Section: Introduction 11 Motivationmentioning

confidence: 99%

Automotive Driveline Backlash State and Size Estimator Design for Anti-Jerk Control

Darokar¹

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Measuring Vehicle Driveability

Cited by 24 publications

References 10 publications

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

Objective Rating of the Launch Behavior of Conventional, Hybrid and Electric Vehicles

Automotive Driveline Backlash State and Size Estimator Design for Anti-Jerk Control

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