How do driving modes affect the vehicle’s dynamic behaviour? Comparing Renault’s Multi-Sense sport and comfort modes during on-road naturalistic driving

Melman, Timo; Winter, Joost de; Mouton, Xavier; Tapus, Adriana; Abbink, David A.

doi:10.1080/00423114.2019.1693049

Cited by 12 publications

(9 citation statements)

References 55 publications

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“…Research describes different ways of changing the throttle mapping and the corresponding effect on vehicle performance (e.g., [10,40,41]), but only a few studies have investigated the effects of MTM on driving behavior. e few studies that did investigate human-in-the-loop effects of MTM used intelligent controllers, such as a throttle pedal for regulating the desired engine torque and desired wheel torque [42] or a throttle pedal that caused the vehicle to decelerate more strongly upon releasing the pedal in critical car-following situations [43].…”

Section: Modified Rottle Mapping (Mtm)mentioning

confidence: 99%

“…According to manufacturers, the sport mode "permits an increased responsiveness from the engine and the gearbox" [7] and offers a "sporty driving style" [5]. e sport mode may encompass technology that increases the throttle sensitivity, road holding, and agility of the vehicle [9][10][11]. is includes the active drivetrain, for example, changes in engine mapping and gear shifting [12,13], active suspension, and four-wheel steering [14,15].…”

Section: Introductionmentioning

confidence: 99%

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Creating the Illusion of Sportiness: Evaluating Modified Throttle Mapping and Artificial Engine Sound for Electric Vehicles

Melman

Visser

Mouton

et al. 2021

Journal of Advanced Transportation

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Modern computerized vehicles offer the possibility of changing vehicle parameters with the aim of creating a novel driving experience, such as an increased feeling of sportiness. For example, electric vehicles can be designed to provide an artificial sound, and the throttle mapping can be adjusted to give drivers the illusion that they are driving a sports vehicle (i.e., without altering the vehicle’s performance envelope). However, a fundamental safety-related question is how drivers perceive and respond to vehicle parameter adjustments. As of today, human-subject research on throttle mapping is unavailable, whereas research on sound enhancement is mostly conducted in listening rooms, which provides no insight into how drivers respond to the auditory cues. This study investigated how perceived sportiness and driving behavior are affected by adjustments in vehicle sound and throttle mapping. Through a within-subject simulator-based experiment, we investigated (1) Modified Throttle Mapping (MTM), (2) Artificial Engine Sound (AES) via a virtually elevated rpm, and (3) MTM and AES combined, relative to (4) a Baseline condition and (5) a Sports car that offered increased engine power. Results showed that, compared to Baseline, AES and MTM-AES increased perceived sportiness and yielded a lower speed variability in curves. Furthermore, MTM and MTM-AES caused higher vehicle acceleration than Baseline during the first second of driving away from a standstill. Mean speed and comfort ratings were unaffected by MTM and AES. The highest sportiness ratings and fastest driving speeds were obtained for the Sports car. In conclusion, the sound enhancement not only increased the perception of sportiness but also improved drivers’ speed control performance, suggesting that sound is used by drivers as functional feedback. The fact that MTM did not affect the mean driving speed indicates that drivers adapted their “gain” to the new throttle mapping and were not susceptible to risk compensation.

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Section: Modified Rottle Mapping (Mtm)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Creating the Illusion of Sportiness: Evaluating Modified Throttle Mapping and Artificial Engine Sound for Electric Vehicles

Melman

Visser

Mouton

et al. 2021

Journal of Advanced Transportation

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“…The differences of 9 Nm relating to the first vehicle and 13 Nm relating to the second vehicle are relatively small, also due to the fact that the differences were measured in the short extent of engine speed. Such a difference is negligible in common road traffic [49].…”

Section: Discussionmentioning

confidence: 96%

Air Filter and Selected Vehicle Characteristics

2020

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While a vehicle is driving, the air filter is gradually being clogged. Thus, there is a condition for air mass delivered into the engine’s cylinders to be reduced. It can further degrade the vehicle’s ability to accelerate and, therefore, have an impact on road driving safety, or it can eventually make a vehicle performance worse or cause a change in the exhaust gas composition. The article pays attention to the impact of clogged air filter on selected vehicle characteristics including a vehicle’s dynamic features, fuel consumption and composition of the exhaust gases. The measurements have been performed under laboratory conditions. For higher result objectivity, the measurements have been done under some extreme conditions as well, with both the air filter fully clogged and forced air induction. The importance of the article lies in quantification of the impact of clogged air filter on selected vehicle features. The results from this article show a relatively low impact of air filter on the features studied. The biggest differences were measured under extreme conditions when the air filter had been almost fully clogged, or the air had been delivered into the engine under pressure.

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“…The sport mode provides higher torque and throttle response, robust suspension, and stiffer steering, which provides additional stability (Melman et al, 2021)…”

Section: Snow/icementioning

confidence: 99%

Intelligent vehicle drive mode which predicts the driver behavior vector to augment the engine performance in real-time

Kolachalama

Malik

2022

DCE

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In this article, a novel drive mode, “intelligent vehicle drive mode” (IVDM), was proposed, which augments the vehicle engine performance in real-time. This drive mode predicts the driver behavior vector (DBV), which optimizes the vehicle engine performance, and the metric of optimal vehicle engine performance was defined using the elements of engine operating point (EOP) and heating ventilation and air conditioning system (HVAC). Deep learning (DL) models were developed by mapping the vehicle level vectors (VLV) with EOP and HVAC parameters, and the trained functions were utilized to predict the future states of DBV reflecting augmented vehicle engine performance. The iterative analysis was performed by empirically estimating the future states of VLV in the allowable range of DBV and was fed into the DL model to predict the performance vectors. The defined vehicle engine performance metric was applied to the predicted vectors, and thus optimal DBV is the instantaneous output of the IVDM. The analytical and validation techniques were developed using field data obtained from General Motors Inc., Warren, Michigan. Finally, the proposed concept was quantified by analyzing the instantaneous engine efficiency (IEE) and smoothness measure of the instantaneous engine map (IEM).

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How do driving modes affect the vehicle’s dynamic behaviour? Comparing Renault’s Multi-Sense sport and comfort modes during on-road naturalistic driving

Cited by 12 publications

References 55 publications

Creating the Illusion of Sportiness: Evaluating Modified Throttle Mapping and Artificial Engine Sound for Electric Vehicles

Creating the Illusion of Sportiness: Evaluating Modified Throttle Mapping and Artificial Engine Sound for Electric Vehicles

Air Filter and Selected Vehicle Characteristics

Intelligent vehicle drive mode which predicts the driver behavior vector to augment the engine performance in real-time

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