Development of a Cruise Controller Based on Current Road Load Information with Integrated Control of Variable Velocity Set-Point and Gear Shifting

D’Amato, Antonio; Donatantonio, Fabrizio; Arsie, Ivan; Pianese, Cesare

doi:10.4271/2017-01-0089

Cited by 14 publications

(6 citation statements)

References 24 publications

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“…Therefore, eco-driving speed is usually recommended at or safely below the speed limit [17,18,30]. Many studies have been carried out to estimate the optimal driving speed profile under various real-world conditions, such as congestion levels [31], road grades [32,33], car-following scenarios [34], signalized roads [35][36][37][38], and hybrid electric vehicles [39].…”

Section: Driving Speedmentioning

confidence: 99%

Eco-driving technology for sustainable road transport: A review

Huang

Zhou

et al. 2018

Renewable and Sustainable Energy Reviews

272

128

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Road transport consumes significant quantities of fossil fuel and accounts for a significant proportion of CO2 and pollutant emissions worldwide. The driver is a major and often overlooked factor that determines vehicle performance. Eco-driving is a relatively low-cost and immediate measure to reduce fuel consumption and emissions significantly. This paper reviews the major factors, research methods and implementation of eco-driving technology. The major factors of eco-driving are acceleration/deceleration, driving speed, route choice and idling. Eco-driving training programs and in-vehicle feedback devices are commonly used to implement eco-driving skills. After training or using in-vehicle devices, immediate and significant reductions in fuel consumption and CO2 emissions have been observed with slightly increased travel time. However, the impacts of both methods attenuate over time due to the ingrained driving habits developed over the years. These findings imply the necessity of developing quantitative eco-driving patterns that could be integrated into vehicle hardware so as to generate more constant and uniform improvements, as well as developing more effective and lasting training programs and in-vehicle devices. Current eco-driving studies mainly focus on the fuel savings and CO2 reduction of individual vehicles, but ignore the pollutant emissions and the impacts at network levels. Finally, the challenges and future research directions of eco-driving technology are elaborated.

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Section: Driving Speedmentioning

confidence: 99%

Eco-driving technology for sustainable road transport: A review

Huang

Zhou

et al. 2018

Renewable and Sustainable Energy Reviews

272

128

View full text Add to dashboard Cite

show abstract

“…The simulation results based on a dynamic programming algorithm (DP) and model predictive control (MPC) showed that the fuel consumption was reduced by 3.5% and 2.5%, respectively. If the total travel time was not limited, the fuel consumption was reduced by about 2–3% while the travel time increased slightly, by about 1.5% which means the maximum increase was 1 min for 1.5 h of travel time [ 46 ]. In addition to conventional cars, Chen et al [ 47 ] proposed a predictive driver coaching (PDC) system for hybrid electric trucks that uses static map data and dynamic traffic data to achieve a trade-off between fuel consumption and trip time.…”

Section: Eco-driving Theorymentioning

confidence: 99%

“…At present, in the eco-driving strategy, when considering the impact of slope on energy consumption, the optimization algorithm mainly adopts PMP [ 43 , 48 , 49 , 50 , 51 ], DP [ 44 , 46 , 52 ], and MPC [ 19 , 44 ]. The research objects are mainly heavy trucks and buses [ 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 ] because the impact of slope on energy consumption is significant for vehicles with a large mass. The above analysis shows that the impact of slope on this heavy vehicle is about 2.5% to 5%, which is relatively small compared to the impact of other factors on vehicle fuel economy.…”

Section: Eco-driving Theorymentioning

confidence: 99%

“…In the past 10 years, extensive research has been conducted on the energy consumption modeling of conventional vehicles and electric vehicles [ 79 ]. It is necessary to clarify the quantitative relationship between vehicle operating parameters/driving behavior and energy consumption to estimate and predict vehicle energy consumption so as to better realize vehicle control strategies and traffic management strategies [ 9 , 44 , 45 , 46 ]. In addition, this relationship can also be used to guide the selection of evaluation indicators, and then use appropriate evaluation methods to evaluate eco-driving capabilities.…”

Section: Eco-driving Capability Evaluationmentioning

confidence: 99%

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An Overview of Eco-Driving Theory, Capability Evaluation, and Training Applications

et al. 2021

Sensors

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Constrained by traditional fuel-saving technologies that have almost reached the limit of fuel-saving potential, the difficulty in changing urban congestion, and the low market penetration rate of new energy vehicles, in the short term, eco-driving seems to be an effective way to achieve energy-saving and emissions reduction in the transportation industry. This paper reviews the energy-saving theory and technology of eco-driving, eco-driving capability evaluation, and the practical application of eco-driving, and points out some limitations of previous studies. Specifically, the research on eco-driving theory mostly focuses on a single vehicle in a single scene, and there is a lack of eco-driving research for fleets or regions. In addition, the parameters used to evaluate eco-driving capabilities mainly focus on speed, acceleration, and fuel consumption, but external factors that are not related to the driver will affect these parameters, making the evaluation results unreasonable. Fortunately, vehicle big data and the Internet of Vehicles (V2I) provides an information basis for solving regional eco-driving, and it also provides a data basis for the study of data-driven methods for the fair evaluation of eco-driving. In general, the development of new technologies provides new ideas for solving some problems in the field of eco-driving.

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“…In [8], a controller focused on fuel economy and taking into account travel time duration is developed by adapting the cruising vehicle velocity set-point and schedules gear shifts based on the road gradient. For downhill conditions, the implemented control system opens the drive-line in order to increase its fuel efficiency by letting the vehicle rolling down, similarly with the strategy presented in [6].…”

Section: Introductionmentioning

confidence: 99%

Análise da Eficiência Energética de Veículos Equipados com Motores Diesel

MARINI¹,

ANTÔNIO²,

KASSAB³

2022

Blucher Engineering Proceedings

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In the last years, the effort spent by automotive companies to deliver a most profitable product to their customers and that preserves the environment has proved the importance of exploiting new methods for maximizing the vehicle fuel efficiency.Besides the implementation of new technologies such as hybrid electric vehicles (HEVs), fuel cell vehicles (FCVs) and electric vehicles (EVs), several driver assistance systems were developed by automotive companies in the last decades with the aim of improving the fuel efficiency of vehicles equipped with internal combustion engines.One of the main factors that affects the vehicle fuel efficiency is the way that it is driven, mainly for vehicles equipped with manual transmission, where besides the engine torque control the driver is also responsible for shifting gears. Hence, the development of new technologies that make the operation of this type of vehicle more efficient have proved to be extremely relevant for the automotive Brazilian industry, mainly for commercial vehicles, where alternative measures as drivers training have not achieved the expected results due to the high turnover of these professionals in the Brazilian market.The purpose of this study is to share a fuel efficiency analysis of commercial vehicles equipped with Diesel engines during positive acceleration phase and also for two hypothetical urban sections travelled with different driving strategies. This analysis aims to provide information that could be used as basis for the development of new active assistance systems to improve the vehicle fuel efficiency.The mentioned analysis were performed via simulation using MAT-LAB/Simulink through the non-linear math model that explains the vehicle longitudinal dynamics, as well as a math model designed by the author based on experimental data to explain mathematically the vehicle fuel efficiency.

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Development of a Cruise Controller Based on Current Road Load Information with Integrated Control of Variable Velocity Set-Point and Gear Shifting

Cited by 14 publications

References 24 publications

Eco-driving technology for sustainable road transport: A review

Eco-driving technology for sustainable road transport: A review

An Overview of Eco-Driving Theory, Capability Evaluation, and Training Applications

Análise da Eficiência Energética de Veículos Equipados com Motores Diesel

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