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Power battery failure early warning system and method

A power battery and early warning system technology, applied in electric vehicle charging technology, battery/fuel cell control devices, electrical devices, etc., can solve problems such as limited coverage of working conditions, increased cost of battery structure complexity, and inapplicability of real-time monitoring.

Pending Publication Date: 2020-03-06
SICHUAN YEMA AUTOMATION CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the coverage of the program is limited and there is no early warning
The patent application number CN 201810122868.7 provides a thermal runaway judgment method based on the thermal runaway model, but it is mainly used for power battery design, not suitable for real-time monitoring
The patent application number CN 201810400715.4 adds a stress test system to the power battery, which can quickly detect the stress change of the battery due to thermal failure, but this will increase the cost and the complexity of the battery PACK structure, and there is no early warning

Method used

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  • Power battery failure early warning system and method

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Embodiment 1

[0048] Please see image 3 , image 3 A pressure difference-time fitting curve diagram provided for the embodiment of the present application.

[0049] In one embodiment, the cloud server can obtain the voltage information in the operating parameters of the power battery, and then analyze the change trend of the maximum pressure difference of the power battery under the same preset power percentage within the first preset time period according to the voltage information, according to This change trend analyzes whether the power battery will fail in the future.

[0050] As an example, the cloud server analyzes the voltage information in the operating parameters to obtain the power battery of an electric vehicle. The maximum voltage difference data of a single cell when the power percentage is 5% in the last 8 days is shown in Table 1:

[0051] Table 1

[0052]

[0053] A quadratic curve fitting is performed on the time-pressure difference data, and the fitting polynomial ...

Embodiment 2

[0057] Please see Figure 4 , Figure 4 A power-time fitting curve diagram provided for the embodiment of the present application.

[0058] In one embodiment, the cloud server can also obtain the charge information in the operating parameters, and analyze the charge decay rate of the power battery within the second preset time period according to the charge information; then, according to the charge decay rate and the power battery The maximum allowable attenuation rate of the power battery is analyzed to see if there is a risk of failure.

[0059] As an example, the power battery of an electric vehicle has a rated power of 51kWh. After the cloud server analyzes the charging information of the power battery, it can be obtained that the power battery has been charged from 30% to 80% in the last 8 days, as shown in Table 2 Shown:

[0060] Table 2

[0061] time (days) 1 2 3 4 5 6 7 8 Power (kWh) 25 24.8 24.5 24.5 24.1 23.5 23 22.6

[0062] ...

Embodiment 3

[0065] In one embodiment, the cloud server can also obtain the first charging parameter information (including charging current, voltage, etc.) Whether there is still charging current input, if there is still charging current input, then send the third warning information to the user terminal and the monitoring platform.

[0066] For example, when an electric vehicle is being charged, the battery management system detects that the maximum voltage of the power battery is 4.2V, and the maximum allowable voltage of the power battery of this model is 4.18V. In addition, there is still a charging current of 1A at this time. At this time, the cloud server will send an early warning message to the user terminal (such as the owner's mobile phone) and ring a reminder: "Your car is in an overcharged state, please stop charging as soon as possible!"; at the same time, the cloud server will also send a message to the monitoring platform. Corresponding warning information, after receiving...

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Abstract

The embodiment of the invention provides a power battery failure early warning system and method. The system comprises a battery management system connected with a power battery, a vehicle-mounted T-BOX connected with the power battery, a cloud server connected with the vehicle-mounted T-BOX, a monitoring platform connected with the cloud server and a vehicle-mounted alarm device connected with the vehicle-mounted T-BOX. The battery management system obtains running parameters of the power battery and sends the parameters to the vehicle-mounted T-BOX, and the vehicle-mounted T-BOX sends the parameters to the cloud server, and the cloud server analyzes whether the power battery has the failure risk or not according to the running parameters and power battery failure standard. When the powerbattery has the failure risk, first early warning information including failure reasons and corresponding treatment measures is sent to the monitoring platform and the vehicle-mounted T-BOX, the vehicle-mounted T-BOX starts the vehicle-mounted alarm device to carry out early warning prompt according to the first early warning information, and the monitoring platform starts the corresponding alarmdevice to carry out early warning prompt according to the first early warning information. The power battery failure is subjected to early warning prompt from multiple aspects, and the solution measure is provided for vehicle owners more accurately in time.

Description

technical field [0001] The present application relates to the technical field of electric vehicles, in particular, to a power battery failure early warning system and method. Background technique [0002] Lithium-ion batteries are widely used in electric vehicles due to their advantages such as high working voltage, high power density and energy density, long service life, and no memory effect. Due to the limited space in the passenger car, in order to increase the cruising range, the energy requirements of the power battery are getting higher and higher. However, higher specific energy means that the energy released out of control is more concentrated, and the greater the loss of people or property. Therefore, the loss of control of the power battery is a problem that must be solved in the development of electric vehicles. [0003] The patent with the application number CN 201710145890.9 provides a method for judging battery failure by the temperature change rate of the p...

Claims

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Application Information

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IPC IPC(8): B60L58/10B60L58/12B60L3/00B60L58/24B60K35/00
CPCB60L58/10B60L58/12B60L3/0046B60L58/24B60K35/00Y02T90/16Y02T10/70
Inventor 杨辉
Owner SICHUAN YEMA AUTOMATION CO LTD