Online estimation method and system for health and power state of power battery

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

Active Publication Date: 2018-12-21
杭州神驹科技有限公司
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

These models have low prediction accuracy and are inconsistent

Method used

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  • Online estimation method and system for health and power state of power battery
  • Online estimation method and system for health and power state of power battery
  • Online estimation method and system for health and power state of power battery

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Embodiment Construction

[0101] 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.

[0102] The embodiment will be described below in conjunction with the accompanying drawings.

[0103] 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.

[0104] Such as figure 1 , figure 2 As shown, a power battery health and power status online estimation method, including the following steps:

[0105] 1) Step 1: Identification of battery second-order...

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Abstract

The invention provides an online estimation method and system for a health and power state of a power battery. The online estimation method and system can accurately estimate the state of health SOH value and the state of power SOP value of the battery at present. The online estimation method comprises the following steps that step 1, parameter identification of a battery second-order RC model based on a recursive least square method with forgetting factors is carried out; step 2, open-circuit voltage correction based on hysteresis voltage simulation is carried out; step 3, the state of current SOC and SOH calculation based on dual-extended Kalman filtering is carried out; and step 4, SOP estimation based on a second-order RC equivalent circuit model is carried out. According to the onlineestimation method and system, the stability of parameter inverse calculation is ensured, the purpose of small and stable calculation amount is realized, the dynamic tracking of time-varying parameters of the battery and the real-time estimation of the state of health SOH of the battery are realized, the calculation accuracy is improved, so that the calculation is integrated and compact, the redundant calculation is eliminated, and the calculation 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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IPC IPC(8): G01R31/36
Inventor 马露杰赵伟
Owner 杭州神驹科技有限公司
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