Converter optimization method and system, computer equipment and storage medium
An optimization method and technology for converters, applied in the directions of calculation, calculation model, instrument, etc., can solve the problems of unsatisfactory improvement of converter efficiency, and achieve the effect of improving converter efficiency
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Embodiment 1
[0067] In step S1, the total loss of the converter is taken as the first variable, and the fitness equation is constructed as follows:
[0068] Fitness=P cost .
[0069] Specifically, the converter total loss function expression is established according to the load and switching frequency, and the converter total loss function expression is taken as the first variable. Among them, the total loss of the converter P cost It is the sum of losses and diode losses of all MOSFETs (Metal-Oxide-Semiconductor Field-Effect Transistor).
[0070] Converter total loss P cost The value of can be regarded as a load (current) and frequency-dependent function, and the total loss function expression of the converter is as follows:
[0071] P cost =f(f boost1 ,f buck1 ,i boost1 ,i buck1 ,f boost2 ,f buck2 ,i boost2 ,i buck2 );
[0072] Among them, f boostn is the nth phase boost switching frequency; f buckn is the nth phase buck switching frequency; i boostn is the boost current...
Embodiment 2
[0083] Based on the first embodiment, since the output voltage ripple is inversely related to the switching frequency, the output voltage ripple is taken as a part of the fitness function in this embodiment, and the output voltage Ripple is used as the second variable, and the first weight coefficient is set for the first variable, and the second weight coefficient is set for the second variable. The fitness equation is constructed as follows:
[0084] Fitness=ω1*P cost +ω2*U peak-peak .
[0085] Among them, ω1 and ω2 are the weight coefficients of circuit loss and ripple respectively.
[0086] Since the output voltage ripple is an important index for evaluating the performance of the power module, in this embodiment, the ripple index is taken as a consideration prior to the efficiency index, and ω1<ω2 is set in the fitness equation.
[0087] In an optional implementation manner of this embodiment, set ω1=1 and ω2=200. It can be understood that the specific values of ω1 ...
Embodiment 3
[0092] Based on the foregoing embodiments, in this embodiment, based on the particle swarm algorithm to obtain the optimal parameter value of the optimization object, the principle of the particle swarm algorithm is as follows Figure 4 shown.
[0093] Specifically, this embodiment executes step S2 and step S3 at preset time intervals, specifically:
[0094] At a preset time interval, the particle swarm algorithm is used to obtain the optimal position, which is the optimal parameter value of the optimization object; then the optimal parameter value is applied to the operation of the converter to ensure that the working condition (load ) can be re-calculated according to the current working conditions when changing.
[0095] Specifically, please refer to figure 1 , Figure 5 , in step S2, using the particle swarm optimization algorithm to obtain the optimal position, including:
[0096] S21. Initialize the particle swarm;
[0097] S22. Initialize the particle velocity and ...
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