Method for predicting service life of aluminum electrolytic capacitor based on task profile of charging module
A technology of aluminum electrolytic capacitors and electrolytic capacitors, which is applied in design optimization/simulation, calculation, computer-aided design, etc., can solve the problems of small application range of stress, large error, and failure of capacitor life prediction model to take into account the environment in which capacitors are located. Achieve real-time prediction and improve the effect of accuracy
Pending Publication Date: 2022-05-06
SHANGHAI MUNICIPAL ELECTRIC POWER CO +2
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[0007] The present invention aims to solve the problem that the existing capacitor life prediction model does not consider the environment in which the capacitor is located, the stress application range is small, and the prediction error is large. Now, a method for predicting the life of an aluminum electrolytic capacitor based on the task profile of the charging module is provided.
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[0036] Specific implementation mode one: refer to Figure 1 to Figure 5 Describe this embodiment in detail, this embodiment is specifically as follows:
[0037]During the use of aluminum electrolytic capacitors, due to the electrochemical reaction in the oxide layer and the large equivalent series resistance, the heat generated is difficult to dissipate, and the internal electrolyte is continuously heated and evaporated during operation, resulting in capacitance value, equivalent series resistance, etc. The parameter will drift from the original baseline value. When the deviation reaches the failure standard in the capacitor manual, the aluminum electrolytic capacitor can be judged as worn out.
[0038] The volatilization rate of the electrolyte in aluminum electrolytic capacitors is positively correlated with its hot spot temperature. The higher the hot spot temperature, the greater the volatilization rate of the electrolyte, which in turn leads to the deterioration of the e...
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The invention discloses an aluminum electrolytic capacitor service life prediction method based on a charging module task profile, and relates to the technical field of aluminum electrolytic capacitor service life prediction. The method aims at solving the problems that an existing capacitor life prediction model does not consider the environment where a capacitor is located, the stress application range is small, and the prediction error is large. The invention provides a capacitor service life prediction method which is applied to an aluminum electrolytic capacitor of a charging module and considers task profile change. The life prediction method comprehensively considers dynamic electric thermal stress such as environment temperature, operation voltage and ripple current to ensure that test conditions are close to practical application as far as possible, real-time prediction of the life of the capacitor is realized, and the precision of life prediction of the capacitor is improved.
Description
technical field [0001] The invention belongs to the technical field of life prediction of aluminum electrolytic capacitors. Background technique [0002] Aluminum electrolytic capacitors have the advantages of large capacity, high withstand voltage, and high energy density. They are often used to stabilize voltage and store energy in various charging equipment. But at the same time, the aluminum electrolytic capacitor is also one of the devices with the highest failure rate in the charging module, and its life is an important factor affecting the life of the system. Conventional life testing of capacitors is usually carried out under constant load conditions, which cannot reflect the actual operating conditions of the capacitor, i.e. the effect of the task profile on the life of the capacitor. How to accurately grasp the impact of changing environmental factors and operating conditions on capacitor parameters and life, so as to accurately predict the remaining service life ...
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Login to View More IPC IPC(8): G06F30/20G06F119/04
CPCG06F30/20G06F2119/04
Inventor 窦真兰刘鸿鹏张浩陈良亮童贤靓张伟张梦媛
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO