A method and system for online estimation of power battery health and power status

A power state, power battery technology, applied in the direction of measuring electricity, measuring electrical variables, instruments, etc., can solve the problems of model inconsistency and low model prediction accuracy

Active Publication Date: 2021-04-23
杭州神驹科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These models have low prediction accuracy and are inconsistent with the models used for SOC (battery state of charge) and SOH

Method used

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  • A method and system for online estimation of power battery health and power status
  • A method and system for online estimation of power battery health and power status
  • A method and system for online estimation of power battery health and power status

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Embodiment Construction

[0103] In order to make the objects and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0104] The embodiment will be described below in conjunction with the accompanying drawings.

[0105] figure 1 It is the module composition and connection relationship of the system provided based on the implementation frame diagram of the present invention, figure 2 It is the SOC-SOH-SOP state integrated online estimation process of the estimation method of the present invention, including key calculation models and input and output data.

[0106] Such as figure 1 , figure 2 As shown, a power battery health and power status online estimation method, including the following steps:

[0107] 1) Step 1: Identification of battery second-order...

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Abstract

The invention provides an on-line estimation method and system for power battery health and power state, which can accurately estimate the SOH value of the current state of health of the battery and the SOP value of the power state. The present invention comprises the following steps: Step 1: Identification of battery second-order RC model parameters based on the recursive least squares method with forgetting factor; Step 2: Open-circuit voltage correction based on hysteresis voltage simulation; Step 3: Double-extended Kalman filter-based SOC and SOH calculation; Step 4: SOP estimation based on the second-order RC equivalent circuit model. The invention ensures the stability of parameter back calculation, achieves the purpose of small and stable calculation, realizes dynamic tracking of battery time-varying parameters and real-time estimation of battery health state SOH, improves calculation accuracy, makes calculation integration compact, eliminates Redundant calculations are eliminated and computational efficiency is improved.

Description

technical field [0001] The invention relates to the field of new energy vehicles, in particular to a method and system for online estimation of power battery health and power status. Background technique [0002] With the rapid development of new energy vehicles, unmanned driving and artificial intelligence technologies, the market demand for power batteries that provide energy platforms for these technologies is increasing, but at the same time, the control of the battery usage process is becoming more and more refined. On the one hand, the purpose of its control is to use the battery correctly and rationally, avoid damage to the battery, thereby reducing costs; security requirements. However, fine-grained control of battery usage is based on a real-time estimate of the battery's instantaneous state; typically including battery state-of-charge, state-of-health, and state-of-power. [0003] The state of the battery is its hidden parameter, which cannot be directly obtained...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/378G01R31/3842G01R31/367
Inventor 马露杰赵伟
Owner 杭州神驹科技有限公司
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