A method and device for real-time estimation of vehicle driving speed based on mobile terminal

Abstract

The invention discloses an an automobile running speed real-time estimation method based on a mobile terminal. The automobile running speed real-time estimation method based on the mobile terminal comprises the steps of obtaining X-axis data and Y-axis data of an acceleration sensor and an X-axis data of a gyroscope; obtaining an automobile running accelerated speed with gravity component by usingthe X-axis data of the acceleration sensor; obtaining a road grade by using the Y-axis data of the acceleration sensor; obtaining a road grade by using the X-axis data of the gyroscope; fusing data collected by the acceleration sensor and the gyroscope so as to obtain corrected accelerated speed and an optimal grade estimated value; obtaining a real accelerated speed of an automobile according tothe corrected accelerated speed; and integrating the real accelerated speed of the automobile to obtain an automobile running speed. According to the automobile running speed real-time estimation method based on the mobile terminal, by using an embedded sensor of the mobile terminal, the automobile running accelerated speed and the speed are estimated in real time to evaluate the green level of adriving behavior of a driver; and therefore, the driver is helped to form a green driving habit, and the fuel consumption is reduced.

Description

technical field [0001] The invention belongs to the field of smart cars, and in particular relates to a mobile terminal-based real-time estimation method and device for driving speed of a car. Background technique [0002] With the rapid increase of car ownership, energy consumption is increasing. Statistical research shows that driving behavior accounts for about 46% of the external factors that affect fuel consumption, except for the impact of the vehicle's own performance. Therefore, it is of great research significance to evaluate the greenness of driver's driving behavior and help drivers develop green driving habits. Realizing the evaluation of green driving behavior requires real-time acquisition of some key parameters, mainly including: vehicle acceleration, speed, fuel consumption, etc. [0003] At present, the method of obtaining these key parameters is generally to collect from the CAN bus of the vehicle through the OBD interface. But the biggest problem with O...

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Problems solved by technology

[0007] However, the data acquired by the acceleration sensor is the combined superimposed value of motion acceleration and gravitational acceleration. When the car is on an uphill or downhill road or the road is bumpy, the vehicle acceleration measured by the sensor will have a large error due to the influence of the gravitational component.

In the above two methods, the gravity component of the acceleration sensor data is not processed, and the accuracy of acceleration and velocity estimation still needs to be improved

In addition, there are few studies on the use of mobile phone sensors to estimate vehicle fuel consumption, and because road slope information is difficult to obtain in real time, most of the existing fuel consumption models do not consider the impact of road slope

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