Electric automobile user learning system based on battery electric quantity optimization
A technology of electric vehicles and learning systems, applied in the field of electric vehicle user learning systems
Inactive Publication Date: 2017-04-19
天津韶乐科技有限公司
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[0003] The purpose of the present invention is to provide an electric vehicle user learning system based on battery power optimization, to solve the existing electric vehicle proposed in the above-mentioned background technology, and to provide a system that allows drivers to master their own driving habits and allocate power reasonably according to the itinerary. system problem
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[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0021] see Figure 1-7 , the present invention provides a technical solution: an electric vehicle user learning system based on battery power optimization, including a central processing unit 1, and the central processing unit 1 is bidirectionally electrically connected with a wireless communication system 2, an electric vehicle power detection system 3, an electric The vehicle operation data acquisition system 4, GPS 6, electric vehicle power management syste...
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The present invention discloses an electric automobile user learning system based on battery electric quantity optimization which belongs to the electromechanical technology field and comprises a central processor. The central processor is in bidirectional electric connection with a wireless communication system, an electric automobile electric quantity detection system, an electric automobile operation data acquisition system, a GPS, an electric automobile electric quantity management system, an electric automobile operation data analysis system and an information inquiry system. According to the present invention, the driving data can be recorded via a random access memory, a memory storage unit, a network memory and a memory storage module, at the same time, the failure data can be deleted regularly, and the difference can be found out by comparing with other user data acquired by the internet or the system. The system deduces the operation habits of the drivers by recording the driving data of the electric automobiles, and enables the drivers to learn and improve the own driving skills by comparison and analysis, and enables the electric quantity of the electric automobiles to do the useful work furthest.
Description
technical field [0001] The invention relates to the field of electromechanical technology, in particular to an electric vehicle user learning system based on battery power optimization. Background technique [0002] At present, electricity is widely explored and paid attention to as a clean energy, especially in the field of electric vehicles and hybrid vehicles that have been spawned in recent years. In comparison, the real-time display of battery energy is similar to the fuel level display of traditional vehicles, which is of great importance. Especially in the initial stage of the current charging network development, the accurate display of power is more important. However, the essence of the power display is not to accurately display the power, but to hope that the user will use the power parameters as a reference to predict the actual mileage that the vehicle can travel. However, this solution has the following problems: different people have different ways of estimat...
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IPC IPC(8): G05B19/042
CPCG05B19/042
Inventor 何爽
Owner 天津韶乐科技有限公司