Resonant System Controller Cycle-by-Cycle Predictive Soft Switching
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Solution Overview
Problem
Conventional soft-switching technologies face limitations due to conduction and reverse recovery issues in MOSFETs and IGBTs, as well as parasitic inductance and capacitance, leading to inefficiencies and electromagnetic interference.
Innovation Solution
The implementation of cycle-by-cycle predictive soft-switching control techniques, utilizing a resonant system controller to adjust switch-activation timing and minimize switching losses and EMI, by detecting timing errors and compensating for them in subsequent cycles, thereby ensuring optimal soft-switching conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If single-cycle control schemes with extrapolation are used, then switching timing can be predicted, but accuracy deteriorates due to noise and inherent delays
Solution Approach 1:
The patent implements feedback by detecting the actual voltage minimum time during each cycle, comparing it with the predicted time, calculating the timing error, and using this error to adjust the switching timing in the next cycle. This closed-loop feedback mechanism eliminates the accuracy problems of open-loop extrapolation methods by continuously correcting for noise and delays
Solution Approach 2:
The patent performs preliminary detection of the voltage minimum time and calculates the timing error in advance during each cycle. This preliminary action allows the system to predict and compensate for timing inaccuracies before they affect the next switching event, improving overall timing precision
2Productivity
If higher switching frequencies are used, then productivity increases, but switching losses and EMI increase
Solution Approach 1:
The patent makes the switching timing dynamic by continuously adjusting it based on the detected voltage minimum time and calculated timing errors. This dynamic adjustment allows the system to operate at higher frequencies while maintaining optimal switching conditions, thereby reducing switching losses and EMI that would otherwise increase with frequency
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces switching losses and electromagnetic interference, achieving high efficiency with minimal hard-switching or diode-conduction losses, and allows for higher switching frequencies without excessive energy dissipation.
Implementation Method 1
The present disclosure generally relates to soft-switching electrical circuitry, including zero voltage switching (ZVS) and zero current switching (ZCS), and, more particularly to cycle-by-cycle control of soft-switching circuitry
Data Source
AI summary
Disclosed techniques achieve soft-switching conditions by determining relative timing of switch states and events, and making recurring timing adjustments in successive cycles (i.e., cycle-by-cycle) to reduce timing errors that introduce switching losses. Timing adjustments provide a prediction of when an optimal soft-switching condition will exist during a subsequent cycle so that switch-actuation signals are provided, irrespective of inherent signaling and feedback delays, in advance of actually observing the condition, thereby subsequently changing a switching state within a desired threshold of the targeted soft-switching condition. Error in the prediction is observed and compensating corrections applied during the next cycle. The predictive nature of the timing corrections provides for rapid convergence on, and recurring refinement of, optimal timing parameters for multiple opposing switches that are coordinated so that the system (be it self- or forced-resonant circuitry) operates at high efficiency with minimal hard-switching or diode conduction losses.