S-CRANN-based electric quantity consumption prediction method and system for intelligent networked electric vehicle

A power consumption, electric vehicle technology, applied in electric vehicles, battery/fuel cell control devices, vehicle components, etc., can solve problems such as mileage anxiety and limit the cruising range of electric vehicles, so as to alleviate mileage anxiety and plan energy-saving travel routes. , Improve the effect of travel service experience

Active Publication Date: 2022-04-05
JIANGSU UNIV
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  • Abstract
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Problems solved by technology

Different from fuel vehicles, the battery capacity limits the cruising range of electric vehicles, so the power consumption has attracted the attention of drivers, especially when the power is critical, and mileage anxiety often arises

Method used

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  • S-CRANN-based electric quantity consumption prediction method and system for intelligent networked electric vehicle
  • S-CRANN-based electric quantity consumption prediction method and system for intelligent networked electric vehicle
  • S-CRANN-based electric quantity consumption prediction method and system for intelligent networked electric vehicle

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Embodiment Construction

[0040] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the protection scope of the present invention is not limited thereto.

[0041] The intelligent network-connected electric vehicle in this embodiment is a pure electric vehicle, which is equipped with a cooperative adaptive cruise control system to realize vehicle-vehicle and vehicle-infrastructure communication, as well as cooperative driving between vehicles.

[0042] Such as figure 1 As shown, the present invention is an S-CRANN-based intelligent networked electric vehicle power consumption prediction system, including a road condition detection device, an information processing device, a power consumption prediction device and a cruising range prediction device.

[0043] The road condition detection device is used to collect the travel data of the remaining trip. The travel data includes road condition information, driving data and driving...

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Abstract

The invention provides an S-CRANN-based electric quantity consumption prediction method and system for an intelligent networked electric vehicle, and the system comprises a road condition detection device, an information processing device, an electric quantity consumption prediction device and an endurance mileage prediction device. The information processing device preprocesses the travel data, the power consumption prediction device predicts the total power consumption of the travel based on S-CRANN, and the endurance mileage prediction device calculates the residual endurance mileage according to the prediction result of the total power consumption in combination with the current residual power. According to the method, the electric quantity consumption of the intelligent network connection electric vehicle can be accurately predicted in real time.

Description

technical field [0001] The invention belongs to the technical field of intelligent network connection, and in particular relates to a method and system for predicting power consumption of an intelligent network connection electric vehicle based on S-CRANN. Background technique [0002] With the proliferation of electric vehicles, the electrification of transportation has been widely recognized as a necessary means to improve energy efficiency and reduce emissions. Different from fuel vehicles, the battery capacity limits the cruising range of electric vehicles, so the power consumption has attracted the attention of drivers, especially when the power is critical, and mileage anxiety often arises. Therefore, it is very important to predict the overall power consumption of the travel route before departure, which can provide the driver with advance reference and provide charging suggestions when the power is insufficient. At the same time, during the driving process, accurate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60L58/10
CPCY02T10/70
Inventor 刘擎超高芬霞张鑫蔡英凤王海陈龙周卫琪熊晓夏梁军景鹏孙超
Owner JIANGSU UNIV
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