Stable and convergent online estimation method for service life of super capacitor
A supercapacitor life-span technology, applied in instruments, calculations, electrical digital data processing, etc., can solve problems such as inability to efficiently estimate supercapacitor life online, achieve good stability and convergence, reduce calculations, and ensure accuracy Effect
Pending Publication Date: 2019-07-12
JIANGSU UNIV OF TECH
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[0005] Aiming at the deficiencies of the above-mentioned prior art, the present invention provides a stable and convergent online estimation method for the life of a supercapacitor, which effectively solves the technical problem that the life of a supercapacitor cannot be estimated online efficiently in the prior art
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[0021] In order to make the content of the present invention clearer and easier to understand, the content of the present invention will be further described below in conjunction with the accompanying drawings of the specification. Of course, the present invention is not limited to this specific embodiment, and general replacements well known to those skilled in the art are also covered by the protection scope of the present invention.
[0022] Such as figure 1 Shown is a schematic flow chart of the stable and convergent online life estimation method for supercapacitors provided by the present invention. As can be seen from the figure, the online life estimation method includes:
[0023] S10 establishes a dynamic model of the super capacitor, which includes the equivalent resistance and equivalent capacitance of the super capacitor;
[0024] S20 establishes the supercapacitor current parameter identification rules according to the dynamic model, and establishes the adaptive method of...
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The invention discloses a stable and convergent online estimation method for the service life of a super capacitor, and the method comprises the steps: building a dynamic model of a super capacitor, the dynamic model comprising the equivalent resistance and equivalent capacitance of the super capacitor; establishing a supercapacitor current parameter identification rule according to the dynamic model, and establishing a self-adaptive method for online estimation of equivalent resistance and equivalent capacitance of the supercapacitor according to the current parameter identification rule, thereby realizing online estimation of the equivalent resistance and equivalent capacitance, and obtaining an estimated resistance value and an estimated capacity value; based on a Lyapunov stability theory and a convergence principle, analyzing the stability and convergence of the supercapacitor equivalent resistance and equivalent capacitance online estimation adaptive method; and carrying out online estimation on the service life of the supercapacitor according to the estimated resistance value or the estimated capacity value. According to the self-adaptive method, the service life online estimation accuracy is guaranteed. Compared with an existing online estimation method, the calculation amount is obviously reduced, and a large amount of manpower and material resources are saved.
Description
Technical field [0001] The invention relates to the technical field of supercapacitors, and in particular to an online estimation method for the life of supercapacitors. Background technique [0002] Supercapacitors are widely used in high-power applications due to their high power density and compact size, making them an ideal choice for high-performance applications, such as railway transportation, electric / hybrid vehicles and other fields. Unlike ordinary batteries and fuel cells, supercapacitors are more suitable for storing and providing energy in a short time, especially in the acceleration and regenerative braking of electric / hybrid vehicles. The life of a supercapacitor is characterized by its state of health (SOH), and SOH is mainly affected by temperature and the number of cycles of charging and discharging. Therefore, the online life estimation of a supercapacitor is to ensure its high performance applications and early failure prediction Prerequisites. [0003] The de...
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IPC IPC(8): G06F17/50
CPCG06F2119/04G06F2119/06G06F30/20
Inventor 王琪韩晓新诸一琦罗印升
Owner JIANGSU UNIV OF TECH