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

Active Publication Date: 2015-01-07
李治良 +2
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the energy replenishment of new energy vehicles cannot be as convenient as that of traditional energy vehicles. The energy reserve of the vehicle itself is relatively limited. When the same energy reserve is driven under different conditions, the mileage may vary greatly. In the field of driving energy prediction, in the vehicle navigation system, the traditional path planning is based on the length of the trip, the speed of the speed limit or the characteristics of the road surface. (such as high-speed priority) and other conditions to optimize the driving route, there is no more accurate energy prediction for the itinerary and a method based on prediction that takes energy as the optimization object, and cannot directly achieve the goal of environmental protection and energy saving

Method used

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  • Vehicle intelligent predictive control system and method
  • Vehicle intelligent predictive control system and method

Examples

Experimental program
Comparison scheme
Effect test

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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Abstract

The invention relates to a vehicle intelligent predictive control system and a vehicle intelligent predictive control method. The system comprises at least one vehicle-mounted control system, a shared data base and an information collection system, wherein the information collection system is used for collecting road information in real time and uploading the collected road information to the shared data base; the vehicle-mounted control system is used for laying a vehicle traveling plan, analyzing energy consumption data, calculating a road coefficient, controlling an energy use strategy, controlling traveling of a vehicle, uploading the traveling plan and the road coefficient to the shared data base, and forecasting driving energy according to traveling conditions of the vehicle; the shared data base stores data uploaded by the information collection system and the vehicle-mounted control system, and forecasts road traffic conditions according to the vehicle traveling plan and trafficability of passed road segments, or forecasts the road traffic conditions according to real-time traffic conditions and historical traffic conditions of the road segments The vehicle intelligent predictive control system and method can help a driver forecasting the traffic conditions and calculating energy required by traveling more accurately, so that economical efficiency and environmental conservation of the vehicle are greatly improved.

Description

technical field [0001] The invention relates to the technical field of vehicle intelligent control, in particular to a vehicle intelligent predictive control system and a method thereof. Background technique [0002] With the depletion of resources and the increasing pollution caused by urban traffic, the environmental protection or economy of new energy vehicles such as electric vehicles and fuel cells has become an important solution to urban pollution and future fossil energy shortages. However, the energy replenishment of new energy vehicles cannot be as convenient as that of traditional energy vehicles. The energy reserve of the vehicle itself is relatively limited. When the same energy reserve is driven under different conditions, the mileage may vary greatly. In the field of driving energy prediction, in the vehicle navigation system, the traditional path planning is based on the length of the trip, the speed of the speed limit or the characteristics of the road surfa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W40/04B60W30/00
CPCB60W30/00B60W40/04B60W2520/10B60W2530/10B60W2552/00B60W2554/00B60W2555/20B60W2555/40
Inventor 李治良李锋高华
Owner 李治良
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