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来源:LM317 Electronics Components编辑:Vigortronix时间:2021-06-14 04:29:37

The US action also impacts Huawei products used in the UK’s broadband networks, both existing ones and the full fibre broadband being rolled out now, notably by BT.

 

 

HTSW-105-18-G-S-LL

By Masoud Beheshti

For years, designers have described a future where gallium nitride (GaN) can help realize unprecedented levels of power density, system reliability, and cost in grid applications.

HTSW-105-18-G-S-LL

 

 

HTSW-105-18-G-S-LL

Silicon Is Dead…and Discrete Power Devices Are Dying

The use of Pre-Flex has shown a clear improvement in the main parameters, as shown in Table 1. X-Factor is a normalized coefficient that Indicates how many times faster a device can be switched using Pre-Switch AI control algorithm technology for the same losses when compared to the same device being hard-switched. This factor provides an indication of improved performance in terms of both current and switching frequency.

Table 1: Data analysis with consequent improvements in the Pre-switching technique [Source: Pre-Switch Inc.]Figure 3: Signal Analysis and AI Control Behavior [Source: Pre-Switch Inc.]Pre-Switch is enabling customers to build systems with switching frequencies 4X-5X faster than their hard-switched IGBT systems and 35X faster than their hard-switched SiC and GaN systems: this is achieved with half the transistor count. In the case of a SiC-based EV inverter, increasing the switching frequency from the ubiquitous 10kHz up to 100kHz or 300kHz creates a near-perfect sine wave without any output filter.  The result is the elimination of unnecessary motor iron losses and increased motor efficiency at low torque and low RPM.  Higher switching frequencies also enable higher RPM motors that are lighter and lower cost,” said Bruce Renouard.

The CleanWave 200kW silicon carbide (SiC) automotive inverter evaluation system enables power design engineers to investigate the accuracy of the company’s soft switching architecture and platform over varying load, temperature, device tolerance, and degradation conditions. The platform includes the Pre-Drive3 controller board, powered by the Pre-Flex FPGA, and the RPG gate driver board, together which virtually eliminates switching losses, enabling fast switching at 100kHz.  Double pulse test data demonstrated that the Pre-Switch soft-switching platform reduces total system switching losses by 90% or more (figure 3).

At the first switching cycle 0 (corresponding when the T” in the preview screen at the top left of figure 4), the AI Pre-Switch controller evaluates multiple inputs and decides which mode the system is in and then makes a safe but not optimized estimate of the resonance period needed for soft switching. All inputs and outputs are accurately measured and stored for future learning. The AI will finely optimize the entire system after the completion of another teach cycle.

In switching cycle 1, all AI inputs and outputs resulting from switching cycle 0 are again accurately measured and analyzed.  The IA will again output the second period of conservative resonance time similar to switching cycle 0 to ensure safe but not optimized soft-switching.

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