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DEVELOPMENT OF A FLEET MANAGEMENT SYSTEM FOR AN OFF-HIGHWAY VEHICLE

Research & Devlopment Institute-JAGANNATHAN VASU
  • Technical Paper
  • 2019-28-2439
To be published on 2019-11-21 by SAE International in United States
DEVELOPMENT OF A FLEET MANAGEMENT SYSTEM FOR AN OFF-HIGHWAY VEHICLE V.Jagannathan 1.a* , B.Jaiganesh 2.b & S.Sudarsanam 3.c Mahindra & Mahindra Limited, Mahindra Research Valley, Mahindra World City, Anjur PO, TN, India Corresponding author Email- V.JAGANNATHAN@mahindra.com Managing an off-highway vehicle fleet during validation is a challenging task. Complexity is acquainted when more than 100 vehicles with different horse power (hp) & with different product configuration working across India and other parts of countries. Traditionally, a tractor validation involves data collection such as usage hours (Hour meter reading on cluster), locations etc. which are recorded in spread sheet and updated to the respective project owners on daily basis through mail communications. A manual recording and consolidation of tractors validation status is prone to error, reiterative work, consumes more resource and effort. Moving towards digitalization, IT enabled system for updating the tractor validation status on daily basis was added with advantage of huge data storage capacity, history data retrieval and data access anytime & anywhere, a step ahead to traditional method but with few limitations of not…
 

A New Parallel Hybrid Concept for Microcars: Propulsion System Design, Modeling and Control

ENEA-Fernando Ortenzi
Positech Consulting s.r.l.-Erminio Maria Ursitti
  • Technical Paper
  • 2019-24-0246
To be published on 2019-10-07 by SAE International in United States
Mobility in modern metropolitan cities is plagued by overcrowding, producing congestion, low transit speed, fuel consumption, air pollution, and parking problems. One of the causes of these phenomena is the growing market of vehicles of excessive size with respect to their more frequent use. The technological and commercial development of vehicles specifically conceived for urban use, and therefore limited in size, not exuberant in performance, and with low fuel consumption and emissions would certainly be more desirable. Hybrid drive trains are particularly suited to this purpose: properly designed, minimal thermal engines can fit the application, giving an electrical driving option when required. It is about a decade, in fact, that metropolitan areas witness birth (and affirmation) of individual transport means, which are essentially inadequate to meet their mobility requirements. Firstly, two-wheeled vehicles were being sold for amusement purpose and/or short-range mobility but soon became, for most of the metropolitan inhabitants, the only way to get around the city and be able to park, even during the winter and in the rain. Scooters, in fact, are…
 
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BIG DATA, BIG BENEFITS

SAE Truck & Off-Highway Engineering: August 2019

Terry Costlow
  • Magazine Article
  • 19TOFHP08_02
Published 2019-08-01 by SAE International in United States

Data mining helps users and equipment developers use data from on-vehicle sensors to work more efficiently.

The huge volumes of data created by on-vehicle systems are being mined to bring a range of benefits to vehicle operators and fleet managers. Predictive maintenance is becoming more common, while data mining is helping OEM design and manufacturing teams enhance their programs.

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Autonomous “Wingman” Vehicles

  • Magazine Article
  • TBMG-34344
Published 2019-05-01 by Tech Briefs Media Group in United States

The US Army’s Futures Command is the most important administrative reorganization of the modern Army. Responding to the world’s changing priorities— especially the “near peer” threat of ascendant Russia and China—the Army is no longer modernizing, but re-inventing its ground vehicle fleet against new realities. Just like the U.S. Air Force stopped inventing better jets and pilot aids and moved to unmanned aerial vehicles (UAV) for “dull, dirty and dangerous” missions, the Army envisions multiple autonomous vehicle concepts. Instead of a heavier Abrams main battle tank, or a replacement to the aging M113 APC, autonomous “wingman” vehicles may replace some of the human-heavy tasks on the future battlefield.

 

Autonomous “Wingman” Vehicles

Aerospace & Defense Technology: May 2019

  • Magazine Article
  • 19AERP05_01
Published 2019-05-01 by SAE International in United States

The Future of Military Unmanned Vehicle Technology

The US Army's Futures Command is the most important administrative reorganization of the modern Army. Responding to the world's changing priorities-especially the “near peer” threat of ascendant Russia and China-the Army is no longer modernizing, but re-inventing its ground vehicle fleet against new realities. Just like the U.S. Air Force stopped inventing better jets and pilot aids and moved to unmanned aerial vehicles (UAV) for “dull, dirty and dangerous” missions, the Army envisions multiple autonomous vehicle concepts. Instead of a heavier Abrams main battle tank, or a replacement to the aging M113 APC, autonomous “wingman” vehicles may replace some of the human-heavy tasks on the future battlefield.

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NASA Marshall Space Flight Center

  • Magazine Article
  • TBMG-34394
Published 2019-05-01 by Tech Briefs Media Group in United States

Founded on July 1, 1960, Marshall Space Flight Center in Huntsville, AL is one of NASA’s largest field centers. Marshall engineers designed, built, tested, and helped launch the Saturn V rocket that carried Apollo astronauts to the Moon. Marshall developed new rocket engines and tanks for the fleet of space shuttles, built sections of the International Space Station (ISS), and now manages all the science work of the astronauts aboard the ISS from a 24/7 Payload Operations Integration Center. Marshall also manages NASA’s Michoud Assembly Facility in New Orleans — the agency’s premier site for the manufacture and assembly of large-scale space structures and systems.

 

R410A Based Automotive Heat Pump System That Hits Cabin Heating Goal Successfully in -30 °C Extreme Ambient

BAIC Motor Corporation, Ltd. New Energy-Kelvin Zhai
BYD Auto Industry Company Limited-Xuefeng Chen
Published 2019-04-02 by SAE International in United States
To meet low ambient challenges on Battery based Electric Vehicles (BEV), it is necessary to employ heat pump systems on the HVAC systems. However, due to the boiling points limitation of the regular refrigerant R134A/R1234YF, even with Vapor Injection cycle (VI) added, due to -26°C Boiling Temperature (BT) limitation, it is still encountering serious challenges to meet -30 °C or lower ambient needs, although VI Heat Pump (VI H/P) may reach COP>=1.7 at ambient -18 °C. An alternative low BT refrigerant, R410A, plus VI participation, the combination provides potentials to operate in extreme low ambient like -30 °C. In order to find out the actual heating performance of R410A+VI, a demonstration fleet of three vehicles had been built up for road tests to compare each other, which consists of a traditional vehicle (ICE gas heating), a BEV with PTC water heating system (R134A) and a BEV with VI heat pump system (R410A). The testing area covers the coldest city in China such as Harbin, (-20°C), Yakeshi (-39 °C), The road tests have exhibited positive results…
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Feasibility Analysis of Taxi Fleet Electrification using 4.9 Million Miles of Real-World Driving Data

National Renewable Energy Laboratory-Matthew Moniot, Clement Rames, Erin Burrell
Published 2019-04-02 by SAE International in United States
Ride hailing activity is rapidly increasing, largely due to the growth of transportation network companies such as Uber and Lyft. However, traditional taxi companies continue to represent an important mobility option for travelers. Columbus Yellow Cab, a taxi company in Columbus, Ohio, offers traditional line-of-sight hailing as well as digital hailing through a mobile app. Data from Columbus Yellow Cab was provided to the National Renewable Energy Laboratory to analyze the potential for taxi electrification. Columbus Yellow Cab data contained information describing both global positioning system trajectories and taxi meter information. The data spanned a period of 13 months, containing approximately 70 million global system positioning system points, 840 thousand trips, and 170 unique vehicles. A variety of scenarios were evaluated using Columbus Yellow Cab data and the Electric Vehicle Infrastructure Projection Tool (EVI-Pro) to understand challenges and opportunities associated with operating an electrified taxi fleet. Two main factors-access to home charging and vehicle specifications-are shown to be major variables affecting successful electric fleet operation. The analysis indicates that 95.7% of taxi travel days can…
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Route-Optimized Energy Management of Connected and Automated Multi-Mode Plug-In Hybrid Electric Vehicle Using Dynamic Programming

Michigan Technological University-Neeraj Rama, Huanqing Wang, Joshua Orlando, Darrell Robinette, Bo Chen
Published 2019-04-02 by SAE International in United States
This paper presents a methodology to optimize the blending of charge-depleting (CD) and charge-sustaining (CS) modes in a multi-mode plug-in hybrid electric vehicle (PHEV) that reduces overall energy consumption when the selected route cannot be completely driven in all-electric mode. The PHEV used in this investigation is the second-generation Chevrolet Volt and as many as four instrumented vehicles were utilized simultaneously on road to acquire validation data. The optimization method used is dynamic programming (DP) paired with a reduced-order powertrain model to enable onboard embedded controller compatibility and computational efficiency in optimally blending CD, CS modes over the entire drive route. The objective of the optimizer is to enable future Connected and Automated Vehicles (CAVs) to best utilize onboard energy for minimum overall energy consumption based on speed and elevation profile information from Intelligent Transportation Systems (ITS), Internet of Things (IoT), High-definition Mapping, and onboard sensing technologies. Emphasis is placed on runtime minimization to quickly react and plan an optimal mode scheme in highly dynamic road conditions with minimal computational resources. On-road performance of the…
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Calculating Heavy-Duty Truck Energy and Fuel Consumption Using Correlation Formulas Derived From VECTO Simulations

Aristotle University of Thessaloniki-Nikiforos Zacharof
European Commission's Joint Research Centre-Alessandro Tansini, Georgios Fontaras, Biagio Ciuffo
Published 2019-04-02 by SAE International in United States
The Vehicle Energy Consumption calculation Tool (VECTO) is used in Europe for calculating standardised energy consumption and CO2 emissions from Heavy-Duty Trucks (HDTs) for certification purposes. The tool requires detailed vehicle technical specifications and a series of component efficiency maps, which are difficult to retrieve for those that are outside of the manufacturing industry. In the context of quantifying HDT CO2 emissions, the Joint Research Centre (JRC) of the European Commission received VECTO simulation data of the 2016 vehicle fleet from the vehicle manufacturers. In previous work, this simulation data has been normalised to compensate for differences and issues in the quality of the input data used to run the simulations. This work, which is a continuation of the previous exercise, focuses on the deeper meaning of the data received to understand the factors contributing to energy and fuel consumption. Fuel efficiency distributions and energy breakdown figures were derived from the data and are presented in this work. Correlation formulas were produced to calculate the energy loss contributions of individual components and resistances (air drag,…
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