Electric car driving range estimation method based on prediction of working condition and fuzzy energy consumption
A driving range, electric vehicle technology, applied in electric vehicles, electrical devices, vehicle components, etc., can solve the problem of power consumption, the inability to obtain information about electric vehicles in real time, etc., to achieve the effect of real energy consumption
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[0042] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, but the protection scope of the present invention is not limited thereto.
[0043] The flow chart of the method for estimating the driving range of electric vehicles based on working condition prediction and fuzzy energy consumption is as follows: figure 1 shown, including steps:
[0044] S1. Based on the Markov algorithm to realize the prediction of the working conditions and use the BP neural network to correct the prediction results,
[0045] S1.1, define the set S to represent the state of the driving condition, and the time series X(t) represents the value of the driving condition at time t, and assign the driving conditions to different states, thus forming the state of the driving condition For: S={s 1 ,s 2 ,...,s k}(1);
[0046] S1.2, using statistical methods to find the transition probability matrix. order m i represent...
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