Gear Shift Optimization for Off-road Construction Vehicles

Fu, Jiali; Bortolin, Gianantonio

doi:10.1016/j.sbspro.2012.09.814

Cited by 12 publications

(10 citation statements)

References 13 publications

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“…The road grade has a large influence on the travel time and fuel consumption for heavy vehicles due to their large mass and heavy loads. Both theoretical and experimental studies have shown promising results in reducing fuel consumption and travel time simultaneously for heavy-duty vehicles through careful operation planning if the grade of the paths used is known in advance [22]. Thus, the path generation process is designed to provide inputs to vehicle dynamic simulation software that equipment manufacturers use to compute fuel consumption and other performance metrics at a detailed level.…”

Section: Driving Time and Path Generation For Heavy Construction Sitementioning

confidence: 99%

Driving time and path generation for heavy construction sites from GPS traces

Jenelius

Koutsopoulos

2016

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)

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Section: Driving Time and Path Generation For Heavy Construction Sitementioning

confidence: 99%

Driving time and path generation for heavy construction sites from GPS traces

Jenelius

Koutsopoulos

2016

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)

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“…In addition, there have been numerous simulations presented where different approaches to controlling the driveline through terrain and trajectory predictions and intelligent gear shifting are investigated [5]. For optimal productivity it has been derived how total cost of ownership is affected by having the right size and type of machine for a specific task and site [6].…”

Section: A Related Workmentioning

confidence: 99%

Energy savings by wireless control of speed, scheduling and travel times for hauling operation

Rylander

Axelsson

Wallin

2014

2014 IEEE Intelligent Vehicles Symposium Proceedings

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Abstract-A Quarry and Aggregate production site consist of sequential production processes and activities to process and produce the output products. Compared to a fixed manufacturing plant, the quarry processes involve mobile machines such as wheel loaders, trucks and articulated haulers and a highly dynamic road infrastructure. Today, the mobile machines are generally not synchronized or controlled towards the overall throughput of the site in real time. This indicates a general improvement potential in increased productivity at quarry sites, but also unsolved challenges for the same reason. Assuming a wireless control system that controls speed and throughput of the different processes and activities, there would be a fuel reduction potential in controlling the mobile machines. This optimization requires models of machine fuel consumption for different applications, velocities and travel times. The main contribution of this paper is the presentation of fuel measurements based on different speeds, site application characteristics and travel times for hauling operation. The fuel measures reveal important aspects regarding how different velocities impact fuel consumption. The results of fuel measurements show a potential in fuel savings of up to 42% and a typical improvement of 20-30% depending on machine speeds, travel times, application and site characteristics. Based on this, some of the applications and challenges in wirelessly controlling machines are discussed.

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“…These discrete process and machine optimizations have either focused on the mobile machines such as excavators, wheel loaders, articulated haulers and trucks or the geographically static machines such as crushers and sorting and screening processes. Mobile machines used for mass transportation and movements have been shown to have a potential in fuel savings while controlling speed and gear shifting due to topology (Fu & Bortolinb, 2012). The size reduction processes such as blasting and crushing as well as sorting and screening have shown to be possible to improve in terms of machine wear and production quality as well as energy consumption and machine utilization.…”

Section: Related Workmentioning

confidence: 99%

Lean Method to Identify Improvements for Operation Control at Quarry Sites

Rylander

Axelsson²

2013

Proceedings of the 30th International Symposium on Automation and Robotics in Construction and Mining (ISARC 2013): Building Th

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The operation of Quarry and Aggregate sites are similar to factory production, since it contains sequential production processes, tasks and activities to produce the output product. Compared to the plant though, the quarry processes are generally not synchronized and controlled towards the overall throughput of the site in real time. Some quarries control parts of the production but do generally not utilize real-time technologies for the whole site and all its activities. This fact indicates a general improvement potential in increased productivity at quarry sites, but also unsolved challenges for the same reason. The main contribution of this paper is the presentation of a Lean based method for how to describe the processes to identify control improvement potential within a site. The aim of the identified improvements is to increase overall site productivity by optimizing site, fleet and machine utilization towards the overall throughput, and minimizing operational expenses and inventories. Further the paper exemplifies the method's usability with field studies at operational quarry plants successfully identifying and quantifying potential wastes and improvements. In addition the identified productivity improvements based on increased control and automation indicate challenges and needs in wireless communication and sensing technologies.

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Gear Shift Optimization for Off-road Construction Vehicles

Cited by 12 publications

References 13 publications

Driving time and path generation for heavy construction sites from GPS traces

Driving time and path generation for heavy construction sites from GPS traces

Energy savings by wireless control of speed, scheduling and travel times for hauling operation

Lean Method to Identify Improvements for Operation Control at Quarry Sites

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