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How To Unleash SiC Power Device Efficiently With Smart Control?

Presented by:

  • David Fresneau, VP Marketing and Business Development, Silicon Mobility

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Oct 19, 2022, 8:45 am EDT

The efficiency of electric vehicles has become a challenge for todays’ OEMs. After having achieved market entry, next generations of EVs must prominently be more efficient. It is not only better for energy consumption and environmental concerns, but also a strong key differentiator as dozens of new EV models are introduced every year.

With lower switching losses, the SiC power devices are now going mainstream and enabling a significant leap in energy efficiency compared to conventional IGBT devices. But how do we make sure to unleash the full potential of the SiC power devices? How do we make optimal use of SiC devices so that it not only enhances the efficiency and reduces e-motor losses, but improves the total Harmonics Distortion (THD), lowers the Noise Vibration and Harshness (NVH), and keeps the BoM minute?

During this session, Silicon Mobility will present OLEA®, a high-performance control technology. OLEA® technology enables more efficiently electric powertrains using advanced control and modulation algorithms, wide band-gap power transistors combined with higher switching frequencies, advanced converter architectures, higher revving, 3-or-multi-phase electric HV, and motors with increased energy densities.

All these innovations require remarkably high real-time control performance, those of which can provide Silicon Mobility’s OLEA® FPCU control chip.

For inverters, OLEA® FPCU can regulate and switch up to 250kHz (vs 10-15kHz with conventional microcontroller). For DC/DC converters and OBC, OLEA® can regulate and switch up to 500 kHz (vs 50-100kHz). Thus, the power density of these systems can significantly increase resulting in a downsizing of passive components but there are endless possibilities due to additional smart software from advanced control algorithms.

We will focus on the OLEA® APP INVERTER HE controls application which implements an Adaptive PWM Control able to commute dynamically between SVPWM, DPWM, and Optimized Pulse Pattern (OPP) modulations (a predictive control model method) and present the multiple positive impacts on the key performances parameters of an Inverter/Emotor system.


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