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driving cycle : ウィキペディア英語版
driving cycle

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

Image:()|FTP

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.
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 to predict performance of internal combustion engines, transmissions, electric drive systems, batteries, fuel cell systems, and similar components.
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 cycles:
# ''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,〔(【引用サイトリンク】url=http://www.epa.gov/nvfel/testing/dynamometer.htm )〕 and the unofficial European Hyzem driving cycles are transient, whereas the Japanese 10-15 Mode and JC08 cycles are modal cycles.

Some highly stylised transient driving cycles such as official European NEDC are designed to fit a particular requirement and bear little relation to real world driving patterns.〔(【引用サイトリンク】url=https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/4247/ppr-354.pdf )〕 On the contrary, the forthcoming WLTP is striving to mimic real word driving behavior. The most common driving cycles are probably the WLTP, NEDC and the FTP-75, the later corresponding to urban driving conditions solely.
Driving cycle design is the core technology for these standard cycles. Optimization and Markov chains are employed to design a driving cycle.
Drive cycle recognition is applying to Hybrid Electric Vehicle.
== Data Collection ==
Data collection from the test road is the most important activity. Test road (e.g. city, highway, etc.) measured data are the inputs to the 'Drive Cycle' preparation activity.
The procedure involves instrumentation of the test vehicle to collect information while driving on the test road. There are two major types of data to be collected, Driver Behavior data and Vehicle vs Road data.
The Vehicle vs Road data are used to prepare the road drive cycle and the Driver Behavior data to prepare the Driver model. For example, to calculate a vehicle's fuel consumption either in computer simulation or in chassis dynamo-meter which is going to be launched in India, it must run on an Indian road with an Indian Driver. Indian Drive Cycle with a European driver model does not give a fair comparison of the on road trials.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「driving cycle」の詳細全文を読む



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