A method and system for unmanned vehicle power prediction based on parallel neural network
A technology of unmanned vehicles and wavelet neural network, which is applied to vehicle components, vehicle energy storage, and electricity measurement, etc. It can solve the problems of no public and effective technology, poor real-time performance, and the inability to consider the impact of unmanned vehicles' power consumption.
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[0096] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0097] Such as figure 1 As shown, an unmanned vehicle power prediction method based on parallel neural network includes the following steps:
[0098] Step 1: Obtain the historical driving data of unmanned vehicles in the rainstorm environment;
[0099] The historical driving data includes rainfall resistance, road water resistance, road slope power loss, vehicle battery temperature, first power consumption rate, second power consumption rate, and remaining power at each moment;
[0100] Wherein, the value of the first power consumption rate collected in a rainstorm environment is subtracted from the second power consumption rate, and the second power consumption rate is collected under no rain when driving on the same road;
[0101] Step 2: Construct a battery power consumption rate fitting model for unmanned vehicles based on parallel wavelet neural ...
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