Electronic vehicle navigation system with power consumption analysis and prediction and method

Abstract

The invention belongs to the technical field of new energy vehicles and relates to an electronic vehicle navigation system with power consumption analysis and prediction and a method. The navigation system comprises a vehicle-mounted data acquisition system, a storage module, a controller and a man-machine interface, wherein the vehicle-mounted data acquisition system comprises a CAN bus communication module, a GPS and network module and an ambient temperature detection module and is used for acquiring user driving behavior data; the controller is used for acquiring the user driving behavior data through the vehicle-mounted data acquisition system; the user driving behavior data is analyzed and processed to obtain various characteristic parameters which are related to vehicle power consumption and are stored in the storage module; driving behavior samples are accumulated, and machine self-learning is carried out at the charge time, and then power consumption prediction can be provided;a user transmits a traveling requirement to the controller through the man-machine interface; corresponding power consumption is fed back to the man-machine interface by the controller according to route planning and machine learning training models. By adopting the system, a shortest and most rapid route and a route with the lowest power consumption can be recommended to a user.

Description

technical field [0001] The invention belongs to the technical field of new energy vehicles, and relates to an electric vehicle navigation system and method with power consumption analysis and prediction. Background technique [0002] In recent years, electric vehicles have set off an upsurge in environmental protection in my country. Driven by environmental protection factors, the state has vigorously supported the electric vehicle industry and promoted the construction of electric vehicle charging infrastructure. For electric vehicles, its advantage is environmental protection, and its disadvantage is the lack of cruising range. In such a situation, it is necessary to plan routes reasonably to save the power consumption of electric vehicles. It is necessary to accurately predict the power consumption of each journey of electric vehicles, so that users can choose routes reasonably and provide users with more humanized and intelligent solutions. personalized service. [000...

AI Technical Summary

Problems solved by technology

[0011] 3. The steady-state fuel consumption map is mainly used, and the transient fuel consumption estimation method is lacking;

[0012] 4. Does not have self-learning function, unable to adapt to the driving characteristics of specific vehicles

[0013] "A method for testing, evaluating and predicting the actual driving energy consumption of pure electric vehicles" disclosed in China Invention Patent Application No. 201611246090.8 proposes a method for estimating the energy consumption of electric vehicles, but this method also does not consider important factors such as temperature, and is linear method, unable to consider the influence of nonlinear factors, and did not give a specific route energy consumption prediction method combined with navigation

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