Online energy consumption prediction method and system for electric vehicles

Abstract

The invention discloses an electric vehicle online energy consumption prediction method and system. The prediction method includes: loading vehicle type information, and obtaining the average energy consumption per 100 kilometers of the vehicle type P 0 , the energy consumption is the energy consumption under standard driving style, standard road conditions, and non-high temperature or low temperature weather; calculate the energy consumption correction factor k e : Obtain the driving information of the preset number of vehicles of the same model that have been driven on the current driving section, classify them according to the personal driving style, congestion level, and weather recorded after driving to the destination, and take the average value of the actual energy consumption in each category, Then convert the average energy consumption per 100 kilometers of this road section, and the standard energy consumption per 100 kilometers P 0 The ratio is the k of different styles, congestion levels, and weather conditions e ;Calculate the current energy consumption P per 100 kilometers and driving range E of the vehicle, and update them in real time in each execution cycle, where P=k e P 0 , E=100Q·C / P, where Q is the percentage of the current battery power, and C is the total energy of the vehicle battery. As a result, not only the models in the traditional algorithm are considered, but also the driving behavior is considered, and the energy consumption prediction is more accurate.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, in particular to an online energy consumption prediction method and system for electric vehicles. Background technique [0002] The energy consumption prediction system of electric vehicles has great significance for traffic travel: at the individual level, an accurate energy consumption prediction system can make travelers more "safe" and do not have to worry about many troubles caused by incorrect mileage predictions; at the car enterprise level, it can help For enterprises to study and count the energy consumption of a specific model, and to optimize or improve it in the next generation of products; at the social level, to assist government departments in deploying charging stations; at the national level, to relieve people's "mileage anxiety" and encourage electric vehicles Purchases drive the economy. [0003] At present, the energy consumption prediction mechanism of electric veh...

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Problems solved by technology

Rapid acceleration and other large current discharge processes will affect the battery life

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