Vehicle intelligent predictive control system and method
A vehicle-mounted control system and intelligent prediction technology, applied in the direction of control devices, vehicle components, vehicle status input parameters, etc., can solve problems such as limited energy reserves, inability to directly achieve environmental protection and energy saving, and limit the popularity and use of new energy vehicles. Effects of improving battery life, increasing practicality, improving economy and environmental protection
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Embodiment S2111
[0038] Embodiment S2111: Extract according to the historical cycle at the same moment, for example, the current time is 15:00 pm on Monday, and the working week is used as a cycle to extract the historical road condition records of this road section at 15:00 pm every Monday.
Embodiment S2112
[0039] Embodiment S2112: Distinguish extraction between holidays and working days, for example: road traffic conditions at 15:00 in the afternoon on non-rest days or holidays; the extracted data includes but is not limited to the maximum value, average value or one of the data sets containing other statistical significance .
[0040] In step S212: compare the real-time traffic conditions with the congestion degree of the historical traffic conditions extracted in the above steps, and judge the reference value of the historical traffic conditions at the estimated time node of a certain road segment in the vehicle arrival journey to the prediction: if the real-time traffic conditions are higher than the historical records at the same time If the degree of congestion is high, the real-time traffic situation is selected as the road section traffic situation prediction value; if the real-time traffic situation is close to or more unimpeded with the historical situation at the same m...
Embodiment 1
[0088] Embodiment 1: Record the "road section coefficient" and the driving conditions at that time of each vehicle on the road when passing through each road section; The predicted value of driving energy is obtained by multiplying the "road section coefficient" recorded by the vehicle under the condition and other similar conditions with the calculated value of driving energy;
[0089] An Example of Recording Traffic Condition Information and Road Section Coefficient
[0090] Section start and end
[0091] The numbers listed in the above chart are examples, and the databases in actual use include but are not limited to the above categories
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