Method and system for predicting remaining driving mileage of electric automobile
An electric vehicle and mileage technology, applied in vehicle components, transportation and packaging, and driver input parameters, etc., can solve the problems of not comprehensively considering driving behavior, not taking into account, and unable to analyze the level of energy consumption, so as to improve operating performance. and operational reliability, the effect of avoiding breakdowns
Inactive Publication Date: 2015-03-25
SHANGHAI JIAO TONG UNIV +1
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The limitation of this method is that: (1) the future power consumption is predicted only by the statistics of power consumption per unit mileage, without comprehensive consideration of factors such as driving behavior and road conditions of the whole route; (2) only by the power consumption per unit mileage to evaluate Driving behavior without taking into account other factors that affect consumption, including traffic conditions, road conditions, and weather; (3) not ana
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[0043] A preferred embodiment of the present invention provides a method and system for predicting the remaining mileage of an electric vehicle. By integrating various information, including driver input destination information, real world information, electric vehicle information and historical driving behavior, it can Accurately predict the remaining mileage of the battery, the best route of the electric vehicle, the remaining power when arriving at the destination, etc., and can give charging location and time planning, driving mode suggestions, etc., which solves the problem that the existing technology cannot judge driving behavior It is impossible to analyze the reasons for the high and low energy consumption of different driving routes, to accurately predict the remaining mileage based on multi-source information, and to provide suggestions for improving the mobility of electric vehicles, so as to ensure that users can reasonably judge electric vehicles when driving elect...
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The invention discloses a method for predicting the remaining driving mileage of an electric automobile. The method includes the steps that information of an input destination of a driver is acquired; information of the electric automobile is acquired; information of a real world is acquired; historical driving behaviors are loaded; according to the information of the input destination of the driver, the information of the electric automobile, the information of the real world and the historical driving behaviors, the optimal path and the remaining driving mileage of the electric automobile and the remaining electric quantity, generated when the electric automobile reaches the destination, of the electric automobile are obtained through calculation. The invention further discloses a system for predicting the remaining driving mileage of the electric automobile. The system comprises a unit for acquiring the information of the input destination of the driver, a unit for acquiring the information of the real world, a unit for acquiring the information of the electric automobile, a cloud server and a display unit. The method and system for predicting the remaining driving mileage of the electric automobile guarantee that a user can reasonably judge the remaining driving mileage of the electric automobile when driving the electric automobile, and the running performance and the running reliability of the electric automobile are greatly improved.
Description
technical field [0001] The invention relates to a prediction technology for the remaining mileage of an electric vehicle, in particular to a method and system for predicting the remaining mileage of an electric vehicle based on a cloud computing framework. Background technique [0002] With the development and popularization of electric vehicles, users have put forward higher requirements for the batteries used in electric vehicles, not only for the materials and charging and discharging quality of the batteries themselves, but also for the rationality of battery use and information management. The accuracy of the battery puts forward higher requirements, that is, how to accurately evaluate the battery status, driving behavior, road conditions, traffic conditions, and environmental conditions, and integrate the above information to accurately predict the remaining mileage of the electric vehicle. [0003] At present, the prediction of the remaining mileage of electric vehicl...
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CPCB60W40/02B60W40/08B60W2540/043B60W2555/20
Inventor 李杰刘宗长张志刚
Owner SHANGHAI JIAO TONG UNIV
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