Fuel consumption models for tractor test reports

M. F. Kocher, B. J. Smith, R. M. Hoy, J. C. Woldstad, S. K. Pitla

Research output: Contribution to journalArticle

Abstract

Five models for estimating fuel consumption for agricultural tractors with partial drawbar loads were compared. Data were collected from eight John Deere tractors, JD 7230R (e23), 7250R (e23), 7270R (e23), 7290R (e23), 8320R (16 speed), 7290R (IVT), 8345RT (IVT), 8370R (IVT), on the drawbar test track at the Nebraska Tractor Test Lab. The tractors were tested with seven load levels per speed at three different travel speeds as close as possible to 7.5, 10, and 13 km h-1. The IVT tractors were operated in auto mode, and the geared tractors were shifted up three gears and throttled back to the same travel speeds as obtained with the original gear (before shifting up) at maximum drawbar power. The seven loads were selected at 30%, 40%, 50%, 60%, 70%, 75%, and 80% of the drawbar pull at maximum power and rated engine speed at the selected travel speed. Model 1 (fuel consumption as a linear function of drawbar power on concrete), currently used in OECD Code 2, Section 4.4.8, resulted in a separate equation for each speed tested. When regression mean square errors were used for statistical comparison of the five fuel consumption models, model 5 (fuel consumption as a linear function of drawbar power and travel speed on concrete, and engine speed) was not significantly different from the model currently used in OECD Code 2, Section 4.4.8 (model 1, fuel consumption as a linear function of drawbar power on concrete, with separate equations specific to the three speeds tested). The simplest model (model 2), which used a single equation for fuel consumption as a linear function of drawbar power on concrete over the range of speeds tested, had significantly higher regression mean square errors compared to model 1 for half of the eight tractors tested. Model 5 (fuel consumption as a linear function of drawbar power and travel speed on concrete, and engine speed) was determined to be the best of the five models for estimating fuel consumption, with a single equation applicable over the range of speeds tested. Model 3 (fuel consumption as a linear function of drawbar power and travel speed on concrete) provided a statisticallyequivalent fuel consumption estimate to model 5 without the drawback of requiring an input value for engine speed.

Original languageEnglish (US)
Pages (from-to)693-701
Number of pages9
JournalTransactions of the ASABE
Volume60
Issue number3
DOIs
StatePublished - Jan 1 2017

Fingerprint

energy use and consumption
drawbars
fuel consumption
tractors
Fuel consumption
travel
testing
engines
Concretes
engine
Engines
test
speed
OECD
Mean square error
Gears
Tractors (agricultural)
automobiles

Keywords

  • Drawbar power
  • Engine speed
  • Fuel consumption
  • Model
  • Partial drawbar loads
  • Tractors
  • Travel speed

ASJC Scopus subject areas

  • Forestry
  • Food Science
  • Biomedical Engineering
  • Agronomy and Crop Science
  • Soil Science

Cite this

Kocher, M. F., Smith, B. J., Hoy, R. M., Woldstad, J. C., & Pitla, S. K. (2017). Fuel consumption models for tractor test reports. Transactions of the ASABE, 60(3), 693-701. https://doi.org/10.13031/trans.12121

Fuel consumption models for tractor test reports. / Kocher, M. F.; Smith, B. J.; Hoy, R. M.; Woldstad, J. C.; Pitla, S. K.

In: Transactions of the ASABE, Vol. 60, No. 3, 01.01.2017, p. 693-701.

Research output: Contribution to journalArticle

Kocher, MF, Smith, BJ, Hoy, RM, Woldstad, JC & Pitla, SK 2017, 'Fuel consumption models for tractor test reports', Transactions of the ASABE, vol. 60, no. 3, pp. 693-701. https://doi.org/10.13031/trans.12121
Kocher MF, Smith BJ, Hoy RM, Woldstad JC, Pitla SK. Fuel consumption models for tractor test reports. Transactions of the ASABE. 2017 Jan 1;60(3):693-701. https://doi.org/10.13031/trans.12121
Kocher, M. F. ; Smith, B. J. ; Hoy, R. M. ; Woldstad, J. C. ; Pitla, S. K. / Fuel consumption models for tractor test reports. In: Transactions of the ASABE. 2017 ; Vol. 60, No. 3. pp. 693-701.
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