Electric automobile power battery management system and method based on big data and used for battery gradient utilization

An electric vehicle and battery ladder technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of data loss and low battery data accuracy, and achieve the effect of avoiding waste, avoiding data loss and unified storage.

Active Publication Date: 2016-01-13
HARBIN INST OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The present invention aims to solve the problem that the existing electric vehicle battery

Method used

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  • Electric automobile power battery management system and method based on big data and used for battery gradient utilization

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specific Embodiment approach 1

[0035] Specific implementation mode 1. Combination figure 1 Describe this embodiment, the electric vehicle power battery management system for battery cascade utilization based on big data described in this embodiment, it includes a battery data management unit 1, a distributed data processing unit 2, and a data processing master server 3-1 , No. 3 wireless communication circuit 3-2, No. 4 wireless communication circuit 4-2 and battery training machine 4-1;

[0036] The battery data management unit 1 is arranged on the electric vehicle, and it includes a battery cell number detection device 1-2, a battery temperature sensor 1-1, a battery voltage sensor 1-3, a battery current sensor 1-4, a clock circuit 1-5, Battery data processor 1-6 and No. 1 wireless communication circuit 1-7;

[0037] The battery cell number detection device 1-2 is used to collect the number of each battery cell of the electric vehicle battery, and the battery number signal output terminal of the battery ...

specific Embodiment approach 2

[0044] Specific embodiment 2. This embodiment uses the battery management method of the electric vehicle power battery management system for cascade utilization of batteries based on big data described in specific embodiment 1. The method includes:

[0045] collection steps;

[0046] In this step, the number of the battery cells in the battery pack on the electric vehicle is detected by the battery cell number detection device 1-2,

[0047] The battery temperature sensor 1-1 collects the temperature in the battery pack on the electric vehicle,

[0048] The battery voltage sensor 1-3 collects the voltage signal output by the battery cell in the battery pack on the electric vehicle,

[0049] The battery current sensor 1-4 collects the current signal output by the battery cell in the battery pack on the electric vehicle;

[0050] And send the collected temperature signal of the battery pack on the electric vehicle, the voltage signal output by the battery cell, the current sign...

specific Embodiment approach 3

[0066] Specific Embodiment 3. This embodiment is a further description of the battery management method of the second specific embodiment using the electric vehicle power battery management system based on big data for battery cascade utilization. In this embodiment, the battery judgment Steps also include:

[0067] The main data processing server 3-1 determines whether the internal resistance of each battery cell is greater than the maximum internal resistance threshold P of the battery according to the received signal, and P is a positive number;

[0068] When the internal resistance of the battery cell is greater than the maximum internal resistance threshold P of the battery, the main data processing server 3-1 sends a low battery alarm signal to the wireless communication device of the user via the No. The battery cell number signal of the maximum internal resistance threshold P of the battery is sent out.

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Abstract

The invention discloses an electric automobile power battery management system and method based on big data and used for battery gradient utilization and relates to a battery management system and method. The problems that as for battery pack management systems of existing electric automobiles, data loss is prone to occur, and the battery data detection accuracy is low are solved. A battery data management unit is arranged on an electric automobile and used for enabling a battery pack temperature signal, voltage signals output by single batteries and current signals output by the single batteries to be in one-to-one correspondence with serial numbers and time signals of the single batteries in a battery pack; internal resistance and residual electricity quantity of each single battery and charge-discharge times signals of the single batteries are figured out through a distributed data processing unit; the residual electricity quantity is judged through a data processing main server, a judgment result is sent to a user and a battery sorting machine, and the battery sorting machine sorts out the batteries. The electric automobile power battery management system and method based on the big data and used for battery gradient utilization is applicable to providing data of the electric automobile power batteries and electric automobile battery data detection early warning for the battery gradient utilization.

Description

technical field [0001] The invention relates to a battery management system and a management method. Background technique [0002] With the development of electric and hybrid power tools, various power batteries are widely used, but the classification and detection of existing batteries is to put the batteries into specific physical stations in the physical cabinet, and manually calculate them one by one into data and Battery data such as capacity classification data, and use this to classify and file the batteries. When the batteries are assembled, they are manually carried out one by one according to the archived battery data. This not only has low efficiency and classification accuracy, but is also not suitable for electric vehicles. The battery pack in use in the car, and the existing battery management system on the car realizes the functions of signal collection, information calculation and early warning at the same time, such a large amount of data storage and calcula...

Claims

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Application Information

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IPC IPC(8): B07C5/344B07C5/38G01R31/36
Inventor 朱春波梅尊禹李晓宇刘凯魏国逯仁贵胡泽徽
Owner HARBIN INST OF TECH
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