Rapid detection method for battery life

A technology of battery life and detection methods, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve problems such as exhaustion and life attenuation, and achieve the effect of avoiding inaccuracy, rapid prediction, and reducing the amount of calculation.

Active Publication Date: 2015-07-22
中国人民解放军92537部队
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Problems solved by technology

[0003] After the battery has been used for a long

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  • Rapid detection method for battery life
  • Rapid detection method for battery life

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[0050] The present invention will be described in detail below with reference to the drawings and embodiments.

[0051] During the use and storage of the battery, the battery discharge voltage, maximum capacity, efficiency, etc. will gradually decline. After the performance is degraded to a certain degree, it will be scrapped because it cannot meet the use requirements. Therefore, the main failure mode of the battery is a performance-degraded failure. For the life prediction of degraded failure products, the method of degradation modeling can be used.

[0052] Degradation modeling must first select the key performance parameters of the product. Internal resistance and available capacity are commonly used characteristic parameters to characterize battery performance status. The internal resistance will gradually increase with the aging of the battery. Many scholars at home and abroad have studied the battery life prediction through the internal resistance, but the research results ...

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Abstract

The invention discloses a rapid detection method for the battery life. The rapid detection method for the battery life comprises the steps that firstly, the maximum available capacity of a battery is rapidly estimated on the basis of a partial discharge method; secondly, the capacity retention rate is acquired through the maximum available capacity; finally, the residual cycle life, represented in a cycle index mode, of the battery is estimated according to the current capacity retention rate and the known rated cycle life of the battery. It is clear that the maximum available capacity is selected as a key performance parameter, degradation track modeling is conducted on the maximum available capacity of the battery on the basis of a performance degradation method, and then prediction of the residual cycle life of the lead-acid battery is achieved. In addition, the maximum available capacity of the battery is estimated on the basis of the partial discharge method, so that rapid prediction of the residual cycle life of the battery is achieved. Due to the fact that whole-process discharge operation does not need to be conducted, the test time is greatly shortened, the accuracy can be satisfactory on the premise that the discharge rule of the battery is grasped, and the rapid detection method for the battery life has the high application value in the fields of military, energy sources and traffic.

Description

technical field [0001] The invention relates to the technical field of battery life detection, in particular to a fast detection method for battery life. Background technique [0002] With the wide application of electrification devices, electricity is widely used in production, life and national defense. However, if the production and life that depend on electricity encounter a power outage, the loss will be quite huge, or some electrical equipment cannot be directly wired for power supply, or there are special requirements. Therefore, batteries play an increasingly important role in production and life. [0003] After the battery is used for a long period of time, its lifespan decays or even fails. Taking military equipment as an example, if the battery cannot play its due role at a critical moment, it will have a huge blow to combat effectiveness. Therefore, how to understand and grasp the battery status and judge whether it can meet the use requirements at critical tim...

Claims

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Application Information

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IPC IPC(8): G01R31/36
Inventor 刘隆波黄金娥王岩磊徐定海曹建华
Owner 中国人民解放军92537部队
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