Intelligent prediction control system

Abstract

The invention relates to an intelligent prediction control system for vehicle control. The system comprises three parts for information acquisition, intelligent prediction central processing and drive control. The system integrates vehicle travel information, historical road condition data, traffic condition prediction, weather condition on road, etc. to predict vehicle travel mileage, to properly arrange for use of stored power and to make a power generation strategy. It can predict the mileage that can be covered by stored power with high accuracy and safely and reliably, maximize the continuing mileage of the power and its advantages of environment protection over others. In light of the road condition prediction, on roads with varied slopes, the vehicle preferably uses the stored power and reserves power properly when traveling down slopes. For hybrid-power vehicles, when it predicts that the power cannot afford a complete run, the system can remind the driver of initiating at smooth sections of a road other drive power or of charging power. For vehicles using traditional energy, the system will preferably choose the shortest route or the road for shortest time so as to maximally reduce energy consumption and to increase the environmental-friendliness and economy of the vehicles.

Description

technical field [0001] The present invention relates to an intelligent predictive control system for battery electric powered vehicles or hybrid powered electric vehicles including battery driven and other power, and applicable to engine powered conventional vehicles. The system includes information collection, intelligent prediction central processing, and drive control system. It involves intelligent forecasting program logic, optimization planning technology, information collection and synthesis technology, sensor technology, battery management, electric drive control, fuel power control and other technical fields. Background technique [0002] With the increasing demand for global energy, the depletion of resources, the high price of traditional fossil fuels such as gasoline and diesel, and the increasing pollution caused by urban traffic, the environmental protection and economy of new energy vehicles, especially electric vehicles, have become an important solution to u...

AI Technical Summary

Problems solved by technology

However, the coordination and coordination of various energy and recovery functions of this type of vehicle is complicated. If the vehicle control system cannot plan the vehicle energy usage strategy well, it will not be able to effectively utilize the economy and environmental protection of this type of vehicle.

For example, when the vehicle is running, when the battery power is exhausted and the fuel drive is started, if there is a traffic jam, the fuel power will be frequently activated under harsh working conditions, which will greatly increase fuel consumption; for example, before reaching the destination, the engine has already been charged. When the battery is fully charged, the economy and environmental protection of plug-in charging cannot be reflected; for example, before the vehicle goes up the mountain, the fuel system drives the vehicle up the mountain while charging, which will greatly increase fuel consumption, and at the same time reduce the capacity of the battery to recover electric energy when going down the mountain

The management of compound power is complicated. If the operation of the power and energy storage system is managed manually, it will greatly increase the load on the driver, and it will be impossible to correct the control strategy in real time based on various information, and at the same time greatly increase the potential danger of driving.

[0005]For traditional fuel-powered vehicles, congestion will greatly increase fuel consumption, but drivers are often unable to keep abreast of road conditions, weather and various information during the trip, and cannot timely adjust the route planning, potentially wasting a lot of time and energy

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