Drive Cycle Recognition
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{{Unreferenced, date=June 2019, bot=noref (GreenC bot) Drive Cycle Recognition (abbr. DCR) is an advanced vehicle control strategy that uses past driving information, as well as a library of representative drive cycles to extrapolate future vehicle control parameters. For example, the vehicle
computer A computer is a machine that can be programmed to Execution (computing), carry out sequences of arithmetic or logical operations (computation) automatically. Modern digital electronic computers can perform generic sets of operations known as C ...
can identify past driving history as one particular representative cycle (say,
FTP-75 The EPA Federal Test Procedure, commonly known as FTP-75 for the city driving cycle, are a series of tests defined by the US Environmental Protection Agency (EPA) to measure tailpipe emissions and fuel economy of passenger cars (excluding light ...
) and use known information from
FTP-75 The EPA Federal Test Procedure, commonly known as FTP-75 for the city driving cycle, are a series of tests defined by the US Environmental Protection Agency (EPA) to measure tailpipe emissions and fuel economy of passenger cars (excluding light ...
to improve vehicle performance. This type of control strategy is most useful for hybrid vehicles where the control strategy has a much greater effect on vehicle performance than with a regular internal combustion engine driven vehicle. Identification techniques can be as simple as numerical error calculations (such as
Mean squared error In statistics, the mean squared error (MSE) or mean squared deviation (MSD) of an estimator (of a procedure for estimating an unobserved quantity) measures the average of the squares of the errors—that is, the average squared difference between ...
) or as complex as a self-organizing competitive
neural network A neural network is a network or circuit of biological neurons, or, in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus, a neural network is either a biological neural network, made up of biological ...
. Hybrid vehicles