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Data driven/physical hybrid model for SOC determination in lithium batteries

A technology for rechargeable batteries and battery cells, which is applied in electrical digital data processing, special data processing applications, battery/fuel cell control devices, etc. useful, etc.

Inactive Publication Date: 2015-03-25
SEEO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods are complex, computationally intensive, and indirect, all of which can add error and cost
Also, such methods are pre-specified, making them not very useful for determining real-time status indicators

Method used

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  • Data driven/physical hybrid model for SOC determination in lithium batteries
  • Data driven/physical hybrid model for SOC determination in lithium batteries
  • Data driven/physical hybrid model for SOC determination in lithium batteries

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Embodiment Construction

[0055] In this paper, to determine the LiFePO 4 The preferred embodiment is illustrated in the context of the SOC of the Li cell of the cathode. However, those skilled in the art will readily appreciate that the materials and methods disclosed herein will be applicable to a variety of other battery chemistries where it is difficult to determine SOC using standard methods, especially where accuracy and real-time measurements are important.

[0056] A method was developed to improve the accuracy of SOC determination by employing both physical and empirical models and weighting the contribution of each model based on a rough approximation of the state of charge using conventional methods. The result is a hybrid model that accurately determines the SOC of a battery over its entire voltage operating range through the careful application of two different models.

[0057] Embodiments of the invention disclosed herein can be used in numerous battery-powered applications where maximum...

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Abstract

A hybrid model to determine state-of-charge for lithium batteries includes both a physical model and an empirical or data-driven model. The physical model is an electrochemical model, based on the battery materials properties and structure and describes dynamic electrochemical reactions. The empirical model uses coulomb counting and a relaxation filter, plus a Kalman filter for adaptive compensation of the system parameters. In some SOC regimes, one model is strongly favored over the other. In some SOC regions, a weighted combination of the two models is used.

Description

[0001] Statement of Government Support [0002] The invention described and claimed herein was made in part with funds provided by the US Department of Energy under Contract No. DE-OE0000223. The US Government has certain rights in this invention. Background technique [0003] The present invention relates generally to methods for determining the state of charge of a secondary battery, and more particularly to combining physical and empirical models to improve the accuracy of the state of charge determination. [0004] State of charge (SOC) is equivalent to fuel gauge measurement of battery packs in battery electric vehicles (BEV), hybrid electric vehicles (HEV) or plug-in hybrid electric vehicles (PHEV). SOC is usually expressed as a percentage of full charge (eg, 0%=depleted; 100%=full). An alternative form of the same measurement is depth of discharge (DoD), which is the inverse of SOC (eg, 100% = depleted; 0% = full). SOC is typically used when discussing the current s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCB60L3/12B60L2240/545B60L2240/547B60L2240/549B60L58/12G01R31/367G01R31/374G01R31/378G01R31/3842Y02T10/70
Inventor 叶长青彼得·帕里斯拉里·迪尔斯科特·艾伦·穆林M·辛
Owner SEEO