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Control system for lithium ion battery of electric car

A lithium-ion battery and control system technology, which is applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., to achieve the effect of reducing estimation error and small error

Active Publication Date: 2017-08-11
JIANGSU FUWEI ENERGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology predicts how old or poor batteries are by comparing their performance against older ones before they reach full power level (Battery Charge Efficiency). By measuring this difference between new batteries and previous batteries, it can help identify any issues early during manufacture process for maintenance purposes. It also considers factors like ambient temperatures which affect the overall ability of certain types of cells used inside an electric vehicle's charger system. Overall, these technical features improve the accuracy and effectiveness of charging systems.

Problems solved by technology

This patents describes an electric car's battery management systems (BMSS) which are designed specifically for better performance in managing batteries under varying conditions over their lifespan. These technical problem addressed by this technology includes improving how well these devices estimate the amount of stored electrical charge they have at any given point on time without being influenced from external influences like temperature fluctuations.

Method used

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  • Control system for lithium ion battery of electric car
  • Control system for lithium ion battery of electric car
  • Control system for lithium ion battery of electric car

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Embodiment Construction

[0031] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0032] In the estimation of the remaining capacity of the power battery, there are many factors that need to be considered. The mathematical model of the system and each factor presents a nonlinear relationship, and it changes nonlinearly with the charging and discharging time. BMS estimates SOC by measuring data such as battery voltage, output current, temperature and internal resistance. There are theories such as the ampere-hour method, open-circuit voltage method, Kalman filter method, and neur...

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PUM

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Abstract

The invention discloses a control system for a lithium ion battery of an electric car. The system achieves the safety control of the battery through precise estimation and feedback of the residual electric quantity of the battery, collects a discharging current, an output voltage and the temperature of the battery, carries out the filtering and noise reduction through a filter, and builds a mathematic relation between the residual capacity of the battery and the output current of the battery based on an ampere-hour method and a Proctor empirical formula. The system gives consideration to the temperature factor and a nonlinear change factor of the initial capacity of the battery, carries out the correction and compensation of the Kalman method, and reduces the estimation error of the residual capacity of the battery. The system employs an open-circuit voltage method and the Kalman filtering method for prediction and comparison, carries out the compensation of a gain matrix, obtains the nearly real initial capacity of the battery, and enables the prediction and estimation error to be smaller. Meanwhile, the system gives consideration to the impact on the residual capacity of the battery from the temperature, corrects the mathematic model of the ampere-hour method through the corrected parameters K and n, and further reduces the estimation error.

Description

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Claims

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Application Information

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Owner JIANGSU FUWEI ENERGY CO LTD
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