Driving cycle: Difference between revisions

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[[Drive cycle recognition|Driving cycle recognition]] is applying to Hybrid Electric Vehicle.
 
[[Drive cycle recognition|Driving cycle recognition]] is applying to Hybrid Electric Vehicle.
   
== Data Collection ==
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== Driving Cycle Design ==
 
== Driving Cycle Design ==

Revision as of 05:56, 9 January 2011

A driving cycle is a series of data points representing the speed of a vehicle versus time.

Driving cycles are produced by different countries and organizations to assess the performance of vehicles in various ways, as for example fuel consumption and polluting emissions. [1] [2] [3]


Fuel consumption and emission tests are performed on chassis dynamometers. Tailpipe emissions are collected and measured to indicate the performance of the vehicle.

Another use for driving cycles is in vehicle simulations. More specifically, they are used in propulsion system simulations (simulators designed specifically to model the drive system only and predict performance of internal combustion engines, transmissions, electric drive systems, batteries, fuel cell systems, etc.) An example of this type of vehicle simulator would be ADVISOR produced by AVL Engineering.

Some driving cycles are derived theoretically, as it is preferred in the European Union, whereas others are direct measurements of a driving pattern deemed representative.

There are two types of driving cycle: Transient driving cycles involve many changes, representing the constant speed changes typical of on-road driving. Modal driving cycles involve protracted periods at constant speeds. The American FTP-75[4], and the unofficial European Hyzem driving cycles are transient, whereas the official European NEDC and the Japanese 10-15 Mode cycles are modal cycles.

The most common driving cycles are probably the European NEDC and the American FTP-75.

Driving cycle design is the core technology for these standard cycles. Optimization and Markov Chain are employed to design a driving cycle.

Driving cycle recognition is applying to Hybrid Electric Vehicle.

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Driving Cycle Design

Driving Cycle Recognition

Driving Cycle Prediction

Reference

  1. ^ K. Brundell-Freij and E. Ericsson, Influence of street characteristics, driver category and car performance on urban driving patterns, Transportation Research D 10 (2005). [1]
  2. ^ E. Ericsson)[2], Variability in urban driving patterns, Transportation Research D 5 (2000)
  3. ^ E. Ericsson, Independent driving pattern factors and their influence on fuel-use and exhaust emission factors, Transportation Research D 6 (2001)[3]
  4. ^ FTP Driving Cycle, data:[4]picture:[5]

External links