scholarly journals Improving fuel efficiency for heavy-duty vehicles of 3.5–12 tonnes in India: Benefits, costs, and environmental impacts

2019 ◽  
Author(s):  
Nihan Karali ◽  
Nikit Abhyankar ◽  
Ben Sharpe ◽  
Anup Bandivadekar
2018 ◽  
Vol 11 (6) ◽  
pp. 1483-1495
Author(s):  
Yogita Karpate ◽  
Sumit Sharma ◽  
S. Sundar

Author(s):  
Carrie M Hall

A wide range of strategies for reducing energy consumption from heavy-duty vehicles have been explored from vehicle electrification to real-time vehicle energy management based on vehicle-to-vehicle and vehicle-to-infrastructure communication. Full electrification of heavy-duty vehicles can be challenging due to current limitations on battery energy density. However, hybridization and the implementation of high efficiency engines present other potential near-term solutions. In contrast to many prior studies that have explored the use of one or two of these techniques, this work discusses the combined influence of hybridization level, engine combustion mode, and connected energy management on fuel efficiency in heavy-duty applications. The impact of hybridization in different driving conditions is quantified and the effectiveness of hybrid powertrain structures with different engine combustion strategies is also explored. Utilizing an alternative combustion strategy can improve fuel efficiency by 5% in conventional and mild hybrids but was found to have a more minimal impact in full hybrids. An additional layer of complexity is also introduced when vehicles have some degree of connectivity and this influence on the energy management method is investigated by comparing control approaches which leverage current and future vehicle speed information. Connectivity and the ability to optimize energy production in real-time was found to be essential in uncertain cases and enable improvements in fuel consumption of up to 12% over baseline cases.


2017 ◽  
Author(s):  
Benjamin Rodriguez Sharpe ◽  
Oscar Delgado ◽  
Mehul Garg

2020 ◽  
Vol 12 (17) ◽  
pp. 6813
Author(s):  
Huifu Jiang ◽  
Wei Zhou ◽  
Chang Liu ◽  
Guosheng Zhang ◽  
Meng Hu

To contribute to the development of sustainable transport that is safe, eco-friendly, and efficient, this research proposed a safe and ecological speed control system for heavy-duty vehicles on long–steep downhill and sharp-curved roads under a partially connected vehicles environment consisting of connected heavy-duty vehicles (CHDVs) and conventional human-driven vehicles. This system prioritizes braking and lateral motion safety before improving fuel efficiency and ensuring traffic mobility at optimal status, and optimizes the speed trajectories of CHDVs to control the entire traffic. Speed optimization is modelled as an optimal control problem and solved by the iterative Pontryagin’s maximum principle algorithm. The simulation-based evaluation shows that the proposed system effectively reduces the peak temperature of the brake drums, the lateral slip angle of the vehicle wheels, and the lateral load transfer rate of the vehicle body; all these measurements of effectiveness are limited to safe ranges. A detailed investigation reveals that the proposed system reduces fuel consumption by up to 15.49% and inhibits the adverse effects on throughput. All benefits increase with the market penetration rate (MPR) of CHDVs and the traffic congestion level and reach significant levels under low MPRs of CHDVs. This indicates that the proposed system has good robustness for the impedance from conventional vehicles and could be implemented in the near future.


2017 ◽  
Author(s):  
Anand R. Gopal ◽  
Nihan Karali ◽  
Ben Sharpe ◽  
Oscar Delgado ◽  
Anup Bandivadekar ◽  
...  

Empirica ◽  
2012 ◽  
Vol 39 (2) ◽  
pp. 261-278 ◽  
Author(s):  
Karl W. Steininger ◽  
Christoph Schmid ◽  
Alexandra Tobin

Author(s):  
Mehmet Emin Mumcuoglu ◽  
Gokhan Alcan ◽  
Mustafa Unel ◽  
Onur Cicek ◽  
Mehmet Mutluergil ◽  
...  

2020 ◽  
Vol 53 (2) ◽  
pp. 13850-13854
Author(s):  
P. Polverino ◽  
I. Arsie ◽  
C. Pianese

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 1036
Author(s):  
Yunxia Li ◽  
Lei Li

A countershaft brake is used as a transmission brake (TB) to realize synchronous shifting by reducing the automated mechanical transmission (AMT) input shaft’s speed rapidly. This process is performed to reduce shifting time and improve shifting quality for heavy-duty vehicles equipped with AMT without synchronizer. To improve controlled synchronous shifting, the AMT input shaft’s equivalent resistance torque and the TB’s characteristic parameters are studied. An AMT dynamic model under neutral gear position is analyzed during the synchronous control interval. A dynamic model of the countershaft brake is discussed, and its control flow is given. The parameter identification method of the AMT input shaft’s equivalent resistance torque is given on the basis of the least squares algorithm. The parameter identification of the TB’s characteristic parameters is proposed on the basis of the recursive least squares method (RLSM). Experimental results show that the recursive estimations of the TB’s characteristic parameters under different duty cycles of the TB solenoid valve, including brake torque estimation, estimation accuracy, and braking intensity estimation, can be effectively estimated. The research provides some reliable evidence to further study the synchronous shifting control schedule for heavy-duty vehicles with AMT.


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