Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Battery management system

A battery management system and battery technology, which is applied in the field of battery management systems for electric vehicles, can solve problems such as model parameter divergence, battery management system incomplete functions, and high false alarm rate

Active Publication Date: 2018-09-18
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF6 Cites 40 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The current battery management system is integrated on the vehicle hardware. Due to the limited computing power of the vehicle hardware, it is impossible to realize large-scale complex and fine calculations, resulting in the incomplete function of the current battery management system.
[0003] When the sensor fails, it will cause large noise fluctuations in the battery management system, which will often cause the divergence of model parameters; the fault diagnosis function in the current battery management is single, only for battery fault judgment, and the method is simple, only using several levels The fault level is judged, the false alarm rate of the system is high, and when the sensor fails, it is easy to cause a fault type judgment error, and it is impossible to distinguish between the battery fault and the sensor fault

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Battery management system
  • Battery management system
  • Battery management system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] In the present invention, except for the external environment temperature, the temperature refers to the battery temperature;

[0015] Battery model parameters include ohmic internal resistance, polarization internal resistance, and polarization capacitance;

[0016] Statistical value refers to mean value and variance in this field, so sensor noise statistical value in the present invention refers to mean value and variance of noise in a period of time;

[0017] In this field, the remaining service life value is the remaining charge and discharge times of the battery;

[0018] In this field, the English abbreviation for the percentage of remaining power is SOC;

[0019] In this field, the English abbreviation of remaining power is SOE;

[0020] In this field, the allowable current value is abbreviated as SOP;

[0021] In this field, the remaining capacity, that is, the percentage of the full charge capacity of the battery relative to the rated capacity, is abbreviate...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a battery management system which comprises a vehicle-mounted battery management unit and a cloud calculation system based on battery historical data. The vehicle-mounted battery management unit conducts battery model parameter identification through voltage, current and temperature which are measured by a battery information acquisition unit, conducts state SOC and SOE estimation through identified parameters and achieves functions of multi-objective optimization charging and discharging capacity SOP estimation, battery short-circuit fault detection, sensor fault detection, sensor online calibration and battery self-heating and heat equilibrium and the like on the basis of model parameters. The characteristics that a cloud server is large in memory space and highin computing power are used for achieving online battery capacity estimation, namely the section of health SOH estimation, and battery pack consistency estimation and remaining mileage prediction areconducted through the model parameters and SOC information. The inner short-circuit condition of parameter slow time varying is estimated. The remaining useful life (RUL) is predicted through the historical charging data. Calculation results are transmitted back to the vehicle-mounted battery management unit through wireless transmission.

Description

Technical field [0001] The field of electric vehicle power batteries and energy storage batteries, especially involving a battery management system for electric vehicles Background technique [0002] The current battery management system is integrated on the vehicle hardware. Due to the limited computing power of the vehicle hardware, it is unable to implement large-scale complex and precise calculations, resulting in the current battery management system being incomplete. [0003] When the sensor fails, it will cause large noise fluctuations in the battery management system, often causing the divergence of model parameters; the current fault diagnosis function in battery management is single, only judging battery faults, and the method is simple, using only a few levels The system has a high false alarm rate, and when a sensor fails, it is easy to misjudge the fault type, making it impossible to distinguish between a battery failure and a sensor failure. Contents of the i...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): B60L3/00B60L11/18
CPCB60L3/0046B60L58/10B60L2240/545B60L2240/547B60L2240/549Y02T10/70Y02T90/16
Inventor 熊瑞王榘何洪文
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products