A method for estimating the remaining mileage of electric vehicles based on traffic road network information
A technology for electric vehicles and road network information, which is applied in computing, electric digital data processing, and special data processing applications, etc., and can solve problems such as difficulty in meeting drivers' psychological expectations, estimating electric vehicles, and concerns about mileage
Active Publication Date: 2016-05-18
TSINGHUA UNIV
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Problems solved by technology
However, due to the low specific energy of the power battery of the electric vehicle, the mileage of the electric vehicle is much smaller than that of the traditional vehicle, and it is difficult to meet the driver's psychological expectation, thus causing the driver's doubts about the remaining mileage of the vehicle. to worry about
At the same time, the dynamics and randomness of the traffic environment also pose challenges to how to reasonably use traffic information to estimate the energy consumption of electric vehicles during driving.
Method used
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[0107] Example: such as figure 2 As shown, the starting point of the electric vehicle in the traffic road network is denoted as O, and the end point that the electric vehicle needs to reach is denoted as F, assuming that a total of N routes are selected to connect the starting point O and the end point F generation Article, using the method for estimating the remaining mileage of an electric vehicle based on traffic road network information of the present invention to estimate whether the electric vehicle can reach the end point F from the starting point O, it includes the following steps:
[0108] 1) Use the remaining energy calculation formula (1) of the electric vehicle to calculate the remaining energy of the electric vehicle at the starting point O, denoted as E O .
[0109] 2) Assume that N connecting the starting point O and the ending point F generation Route 1 of the routes includes road section a to road section d, and the time when the electric vehicle starts at ...
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The invention relates to a traffic network information based residual mileage estimation method for an electric vehicle. The method includes the following steps: collecting voltage U of a battery pack, battery rated capacity Q and battery charging state SOC of the electric vehicle by a battery energy management system of the electric vehicle, and calculating residual energy EB of the electric vehicle; according to random sampling results of X paths with lowest energy consumption of the electric vehicle from a start point to each node in a traffic network, calculating a probability density function of energy consumption and travelling time of the electric vehicle from the start point to each node in the traffic network; according to the residual battery energy EB and the probability density function of energy consumption and travelling time of the electric vehicle from the start point to each node in the traffic network, estimating the residual mileage of the electric vehicle by a random planning model. The method can reflect dynamic random variation characteristics of the traffic network, has the advantage of reasonable estimation result, and can be widely applied to residual mileage estimation for vehicles.
Description
technical field [0001] The invention relates to a method for estimating the remaining mileage of an electric vehicle, in particular to a method for estimating the remaining mileage of an electric vehicle based on traffic road network information. Background technique [0002] In recent years, with the reduction of oil resource reserves and the increasing urban environmental pollution, clean and environmentally friendly electric vehicles are gradually being accepted by the majority of automobile manufacturers and consumers. However, due to the low specific energy of the power battery of the electric vehicle, the mileage of the electric vehicle is much smaller than that of the traditional vehicle, and it is difficult to meet the driver's psychological expectation, thus causing the driver's doubts about the remaining mileage of the vehicle. worry. At the same time, the dynamics and randomness of the traffic environment also pose challenges to how to reasonably use traffic info...
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IPC IPC(8): G06F19/00
Inventor 李克强张书玮罗禹贡连小珉王建强郑四发杨殿阁朱陶陈龙戴一凡褚文博罗剑曹坤
Owner TSINGHUA UNIV