Model Predictive Critical Soft Switching Enabling High Performance Software Defined Power Electronics

Model Predictive Critical Soft-Switching Enabling High-Performance Software-Defined Power Electronics

Leveraging the hierarchical control architecture and software-defined power electronics, the repetitive power converter hardware components and software algorithms design procedures can be simplified and standardized. Also, for different power converter applications, the efficiency and power density are both improved with better dynamic performance.

Software-Defined Power Electronics

Power electronic devices and systems are attracting growing attention due to the electrification of energy conversion systems being a key factor in efforts to reduce fuel combustion and achieve carbon neutrality. This book provides a concept of software-defined power electronics architecture to generalize the power converter design and control procedures with various interfaced applications. The ultimate objective is to construct a reconfigurable software-defined power electronics architecture with standardized atomic power modules that can be leveraged for different electrified energy resources, such as electric vehicle charging, electric motor traction, solar power, and wind power. Several advanced control and design techniques are introduced in detail to achieve the proposed concept with a high-performance energy conversion system, including optimization-based control and estimation, variable frequency soft switching, and passive component design and optimization. The proposed generalized architecture also contributes to avoiding redundant hardware and algorithms design procedures. Software-Defined Power Electronics: Converter Configuration, Control, and Optimization is a guide for engineers and academic researchers to the highly specialized skills required for working in the fields of power converter design and development.

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