Improved storage battery SOC estimation method based on consistency of unit cell

A technology for single cells and battery packs, applied in neural learning methods, secondary battery repair/maintenance, biological neural network models, etc., can solve problems such as unrealistic parameter identification
CN102569922AInactive Publication Date: 2012-07-11上海松岳电源科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
上海松岳电源科技有限公司
Publication Date
2012-07-11
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to an improved storage battery SOC (State Of Charge) estimation method based on the consistency of a unit cell. In the method, the training data set of a storage battery, SOC predicted data corrected on the basis of consistency, and a self-adoption neural network are use for building a fuzzy rule base with an optimized structure and parameters; and then the fuzzy rule base after off-line learning is implanted into the fuzzy inference machine of an embedded controller of BMS (Battery Management System), so as to carry out on-line correction to storage battery SOC estimation. Compared with the prior art, the invention has the advantage that SOC differences in all unit cells inside the battery can be factually reflected on entire SOC estimation.
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Description

technical field

[0001] The invention relates to an improved method for estimating the SOC of a battery pack, in particular to an improved method for estimating the SOC of a battery pack based on the consistency of a single battery. Background technique

[0002] When the traditional battery management system (Battery Management System, BMS) estimates the internal state of the battery, especially the state of charge (State of charge, SOC), it often regards the entire battery pack as a whole to estimate. In fact, due to There are inconsistencies between the individual cells in the battery pack, so it is unreasonable to replace each individual cell with the overall state for management. For example, when the state of charge of a certain battery in the battery pack is 20%, and the state of charge of another battery is 80%, it is obvious that one of the two batteries is close to overdischarge and the other is close to overcharge. The system's estimate of the state of the battery ...

Claims

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