Evaluation of the Effect of Chassis Dynamometer Load Setting on CO2 Emissions and Energy Demand of a Full Hybrid Vehicle

Jaworski, Artur J.; Mądziel, Maksymilian; Lew, Krzysztof; Campisi, Tiziana; Woś, P.; Kuszewski, Hubert; Wojewoda, Paweł; Ustrzycki, A.; Balawender, Krzysztof; Jakubowski, Mirosław

doi:10.3390/en15010122

Cited by 14 publications

(8 citation statements)

References 21 publications

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“…Differences of upwards of 9% in terms of segment energy consumption are observed between the model and traditional one motor dynamometer operation, which become relevant in terms of vehicle or bus route design; these differences are similar to those obtained by Jaworski et al [58], who evaluated three different types of vehicle load settings (New European Driving Cycle (NEDC), Worldwide Harmonized Light Vehicle Test Procedure (WLTP) and their own calculations) to measure energy consumption on the same vehicle and dynamometer; presenting differences of up to 26%, depending on the load strategy used. Other authors, such as Ligterink et al, have proposed corrections to the WLTP load strategy, obtaining results of up to 10.3% with the original WLTP method.…”

Section: Discussionsupporting

confidence: 84%

Integration of a Chassis Servo-Dynamometer and Simulation to Increase Energy Consumption Accuracy in Vehicles Emulating Road Routes

Arango

Escobar

2022

WEVJ

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Electric vehicles, particularly those in mass transit systems, make use of accurate power estimations for different routes to calculate powertrain and battery requirements and plan the location and times of charging stations. Hence, chassis dynamometers are a common tool for vehicle designers as they allow for the emulation of vehicle performance and energy consumption by simulating realistic road conditions. In this paper, a method is presented where inertia events and negative slopes can be represented in the dynamometer through a single motor; allowing researchers to perform fast and cheap tests, while also considering the effect of these variables. A dynamic simulation is used to distribute the energy used in three ways: first, accelerating the vehicle by overcoming the forces opposing motion; second, emulating the kinetic energy delivered by the vehicle mass when decelerating; and third, emulating the energy delivered to the vehicle by negative slopes. Tests were carried out on a dynamometer validating the method through an example route, estimating energy consumption and regeneration; this method reduces the error in energy consumption by inertial effects and negative slopes, otherwise not considered in one motor dynamometers, showing a 9.11% difference between total test energy and real bus energy for this route.

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Section: Discussionsupporting

confidence: 84%

Integration of a Chassis Servo-Dynamometer and Simulation to Increase Energy Consumption Accuracy in Vehicles Emulating Road Routes

Arango

Escobar

2022

WEVJ

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“…In tests on a chassis dynamometer, the motion resistance forces may differ from the actual resistance found on the road [33]. The value of motion resistance force affects not only energy consumption and exhaust emissions [34,35], but also the abrasive wear of tires and dynamometer rollers. Particle emissions from tires and brakes are also affected by the weight of the car under test.…”

Section: Results Of Dust Pollution Immission Measurementsmentioning

confidence: 99%

The Assessment of PM2.5 and PM10 Immission in Atmospheric Air in a Climate Chamber during Tests of an Electric Car on a Chassis Dynamometer

Jaworski,

Balawender,

Kuszewski

et al. 2024

Atmosphere

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Electric cars, like internal combustion vehicles, emit particulate pollution from non-exhaust systems, i.e., tires and brakes, which is included in the Euro 7 emission standard planned for implementation. Tests conducted on chassis dynamometers are accompanied by particulate emissions from non-exhaust systems, which are introduced into the ambient air on the test bench. Particulate emissions tests from non-engine systems on chassis dynamometers are mainly aimed at measuring the mass or number of particulates from tires and brakes. In contrast, little attention is paid to the immission of particulate matter from tires and brakes on the dynamometer during tests, which in the case of electric cars include, for example, measurements of energy consumption or range. Therefore, in order to draw attention to the problem of these emissions, the authors carried out measurements of PM2.5 and PM10 immissions into the air in the climatic chamber during tests of an electric car on a chassis dynamometer. The car tests were carried out in accordance with the WLTC (Worldwide harmonized Light duty Test Cycle) and at constant speed. Based on the test results, a model was proposed for the immission of particulate matter in laboratory air from tire and brake abrasion, taking traffic parameters into account. The results and the developed model show that air quality, in terms of particulate content, deteriorates significantly during testing.

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“…Several factors contribute to these discrepancies, including variations in driving cycles [17][18][19][20][21] and traffic resistance encountered during real driving [22][23][24][25]. Additionally, the car's performance in urban traffic conditions is heavily influenced by the road infrastructure, such as the type of intersections [26,27], energy recovery possibilities during braking [28], and the driver's driving style [29,30].…”

Section: Introductionmentioning

confidence: 99%

On-Board Fuel Consumption Meter Field Testing Results

Tapak,

Kocur,

Matej

2023

Energies

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This paper aims to investigate and compare the fuel consumption data obtained from on-board fuel consumption meters (OBFCMs) from approximately 1000 vehicles through field testing. Furthermore, this research aims not only to compare the OBFCM readings but also to juxtapose them against the fuel consumption specifications provided by the respective vehicle manufacturers. To collect data, a cost-effective on-board diagnostics (OBD) reader and a user-friendly mobile app were employed, providing an accessible and efficient method for fuel consumption analysis. Field testing involved a diverse range of vehicles, covering various makes, models, and years of production. The OBCFM readings were recorded over a 9-month period, probably capturing a wide range of driving conditions and patterns. In order to ensure the reliability of the OBCFM readings, the fuel consumption measurements obtained from the manufacturers specifications were utilized as a reference benchmark. Preliminary data analysis indicates that there are noticeable variations in the fuel consumption data obtained from the OBCFM and the manufacturer specifications. These differences can be attributed to various factors. The novelty of the presented data lies in using a new feature implemented in EU cars since 2019. The study capitalizes on this feature, allowing for the collection of data from a broad spectrum of vehicles throughout the country under genuine driving conditions.

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Evaluation of the Effect of Chassis Dynamometer Load Setting on CO2 Emissions and Energy Demand of a Full Hybrid Vehicle

Cited by 14 publications

References 21 publications

Integration of a Chassis Servo-Dynamometer and Simulation to Increase Energy Consumption Accuracy in Vehicles Emulating Road Routes

Integration of a Chassis Servo-Dynamometer and Simulation to Increase Energy Consumption Accuracy in Vehicles Emulating Road Routes

The Assessment of PM2.5 and PM10 Immission in Atmospheric Air in a Climate Chamber during Tests of an Electric Car on a Chassis Dynamometer

On-Board Fuel Consumption Meter Field Testing Results

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