Driving Advice Method for Electric Car Rental System

A driving suggestion and leasing system technology, applied in the field of car rental management, can solve problems such as insufficient vehicles, reduce power consumption per 100 kilometers, and improve driving rationality.

Active Publication Date: 2021-07-27
宁波轩悦行电动汽车服务有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the current electric car rental needs a lot of time to charge, so that there are not enough vehicles to participate in the operation during the busy time, to provide a way to improve the driving rationality of the user as much as possible, and reduce the 100-kilometer Electricity consumption, a driving advice method that realizes an electric car rental system that has enough vehicles to participate in operation during peak hours

Method used

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  • Driving Advice Method for Electric Car Rental System
  • Driving Advice Method for Electric Car Rental System
  • Driving Advice Method for Electric Car Rental System

Examples

Experimental program
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Embodiment 1

[0027] A driving suggestion method for an electric vehicle rental system, suitable for the electric vehicle rental system, comprising the following steps:

[0028] S1, the server establishes a number of virtual comparison drivers with comprehensive points;

[0029] S2, matching a group of virtual comparison drivers according to the user's driving level for comprehensive evaluation; obtaining the real-time driving data of the user, and performing scoring processing on the driving data;

[0030] S3, comparing and sorting the real-time driving data scores with the virtual driving data scores of the virtual comparison driver to obtain a user's driving data ranking;

[0031] S4, transmit the corresponding driving data and comparison data to the user's mobile phone, and give corresponding driving suggestions. The operation suggestions are manually preset and stored in the server, and the operation suggestions are ranked by the server according to the user's driving data and The dif...

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Abstract

The invention discloses a driving suggestion method for an electric vehicle rental system, which solves the problems in the prior art. Integral virtual comparison of drivers; S2, match a group of virtual comparison drivers according to the user's driving level for comprehensive evaluation; obtain the real-time driving data of the user, and perform scoring processing on the driving data; S3, convert the real-time driving data Scores are compared and sorted with the virtual driving data scores of the virtual comparison driver to obtain a user's driving data ranking; S4, transmitting the corresponding driving data and comparison data to the user's mobile phone, and giving corresponding driving suggestions.

Description

technical field [0001] The invention relates to the technical field of car rental management, in particular to a driving suggestion method for an electric car rental system. Background technique [0002] The car rental industry is a new type of transportation service industry. Due to the advantages of no need for insurance, no annual inspection and maintenance, and the possibility to replace the car model at will, it uses car rental instead of buying a car to control the cost of enterprises or users. Currently, this service has been launched in many cities. a leasing business. [0003] In the traditional car rental service, when the user returns the car after using the car, he needs to go to the designated rental point to return the car with the cooperation of the staff. The process of returning the car is complicated, which not only reduces the efficiency of returning the car for the user, but also increases the The workload of leasing company personnel. [0004] However,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/0962
CPCG08G1/0962
Inventor 蒋阳川
Owner 宁波轩悦行电动汽车服务有限公司
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