Lithium ion battery SOH estimation method is introduced

Source: 2020 - 04 - 10 20:52 hits: lithium ion battery SOH estimation method of old and new charging, discharge process to deal with the total number of hours of electricity should be a constant value and a cumulative Ann when power is considered to be reached to a certain extent on the battery life, this method is the way for an hour. Weighted ampere hour method to consider the same in different conditions of battery power, the damage degree of battery life by the change of light to heavy. Therefore, when multiplied by a weighted coefficient of discharge battery, when the total ampere hour reaches a certain value, the thought that the batteries are at the end of their service life. 3) Event-oriented aging accumulation method in this method, the first to describe the specific events lead to loss of battery life. In general, every event has a description of the scale of the damage degree, monitoring the battery in use process, and the battery life decay caused by cumulative each event to give the residual life of the battery. In the process of using the above method is using the battery some experience knowledge, according to some rules to a rough estimation of battery life, the experience knowledge only experience in battery is full, the life prediction can be used for specific occasions. 2. The method based on performance in a variety of performance model, on the basis of considering the aging process and stress factors. At present, many studies based on battery performance for life prediction. According to the different information sources used in battery life prediction, based on the life of the battery performance prediction can be divided into based on mechanism, based on the characteristics and based on the data of three categories. Forecast analysis, the establishment of a running mechanism model based on mechanism and aging model from the perspective of basic mechanism of battery, battery describing the aging behavior of the battery from the perspective of electrochemical principle, and forecasting analysis model of the battery life of the battery. Based on the characteristics of the prediction using battery aging characteristic parameters in the process of evolution, characteristics and the corresponding relation of battery life, for life prediction. Data-driven prediction using battery performance test data mining evolvement battery performance, battery life prediction. Is obtained by data fitting, for example, the analysis model and artificial neural network model are data driven approach. These three methods have advantages and disadvantages. 1) System method based on the predictions of a mechanism to study the effect of various aging factors on the state variables. This method firstly according to the law of ohm's law and kirchhoff's voltage and current, electrochemical reaction process ( Butler - Dean Vernon wormer law) , diffusion process, Fick's law) Such as the physical and chemical process of battery modeling. Then study the effect of the aging process of state variables. On the one hand, need to study the mechanism for the battery model, on the other hand, need to study the aging mechanism of the aging process model and the influence of stress factors on the state variables. Based on the mechanism of life prediction of the main advantages are: battery is suitable for almost all of the conditions and work mode; In detail in this paper, the process of cell aging, designed for battery manufacturers and designers to improve the battery to provide the reference. Compared with other methods, based on the model of battery control strategy is more detailed and accurate analysis. The disadvantage is that: the parameters of the model need to be careful, high complexity; Because of the complexity of the aging factor test, it is difficult to establish a perfect mechanism of aging model.