Powerful design tools, state-of-the-art embedded processing capabilities, and high-efficiency power electronics transistors drive the digital energy revolution. These power transistors convert energy into packets and then accurately translate and process the packets under the control of a high-speed embedded control system. Currently, one of the most commonly used device types is an insulated gate bipolar transistor or IGBT. IGBT technology has undergone six developments since the 1980s, doubling its energy efficiency every 11 years on average. It is estimated that 5 MW inverters for wind and solar farms will be 27 times smaller in volume than the same equipment in 2000. Energy, like information, is the foundation of all other modern technologies, and the digitization of energy will have a major impact on business and economic development.

"With just a single system design tool chain, I was able to implement a series of processes, from design through to commercial deployment, significantly reducing the development time for many projects, and by now deploying and verifying cost-effective, pre- Prototype verification on hardware allows us to bring commercial hardware products to the field for three months of field testing while other competing Real-Time platforms require larger circuit designers, DSP programmers, engineers, and technology Team of people and still can not deploy these platforms. "- Yakov Familiant, Principal Engineer, Power Systems and Architecture, Eaton Corporation

Since the 1980s, the PPD (performance-per-dollar) for embedded processors and FPGAs has grown at an alarming rate - over 5 million times. Even with the PPD of analog control systems still higher than that of digital control systems by the late 1990s, the development of Moore's Law in recent years has left digital control systems behind analog control systems. Recently, the performance of embedded computing chip has undergone a change. Microprocessors, DSPs and FPGAs, the three most commonly used embedded processing technologies, have been integrated into a single heterogeneous integrated circuit. A few years ago, the integration of FPGAs and DSPs into a single chipset dramatically reduced integration costs and increased the PPD for digital control systems by 40x. For digital energy systems, its significance lies in the DSP's efficient computing power and reconfigurable FPGA chip parallelism and hardware acceleration features combined.

The PPD for embedded computing chipsets doubles every 14 months and will be shorter in 13 years than embedded systems in the coming years. This can leave many product development teams caught in the constant need for redesigning the high-cost, high-risk "rat-wheel" trap. When the product is released, they (and their competitors) can already buy a chipset with twice the PPD. At the current rate of development, the performance of embedded computing chips will increase by 2 ^ 8 times from 2010 to 2020, so the PPD of the processing chips purchased in 2020 is likely to be at least 256 (2 ^ 8) times higher than the chips in 2010 .

The need to constantly redesign product lines to keep up with the Moore's Law has led to the growing challenges for small and large companies. Many executives and board members are thinking about alternatives.

Fortunately, there is now an embedded design approach that keeps companies running ahead of the Moore's Law curve and also controls costs and risks. The solution is a hybrid approach where the processor / DSP / FPGA board is outsourced for development. Vendors such as National Instruments not only offer reconfigurable commercial off-the-shelf (COTS) embedded systems with pre-validated I / O interface blocks and system-level design tools, but also PPD chipsets that are responsible for continuously updating designs to the latest high performance, To ensure the continuity of software and long-term support and services. This team of engineers only needs to focus on designing custom circuits, mechanical properties, and power electronics for COTS embedded systems. Its commercial impact is to enable companies to continually develop new features and capabilities through exponentially growing PPDs to make better use of engineering resources, reduce risk, maintain innovation and stay ahead of the competition.

Let's compare the allocation of engineering costs for these two methods. In traditional FPGA board custom designs, 70% to 80% of FPGA software development costs are used to develop input / output (I / O) interfaces, while only 20-30% are used for algorithm development. As a result, most non-recurring engineering (NRE) fees are allocated to tasks of relatively low value from a product differentiation perspective. In contrast, teams using COTS reconfigurable systems with built-in I / O interface modules and system-level design tools often allocate over 90% of FPGA software development costs to high-value tasks such as algorithmic design, system simulation, and software Quality verification.

In the following diagram, Design V flow explains the process of designing a digital energy system using NI graphical system design. It describes a repeatable approach to designing, developing, validating and certifying high-quality products. Design V process has become the standard for automotive and aerospace industries.

If embedded design is not your primary core competency, consider embedding designs with reconfigurable COTS embedded systems to help you more effectively apply engineering costs to the core differentiation vector.

Design V flow represents the standard for repeatable methods in embedded system design. Its system-level design and verification tools and reconfigurable COTS embedded systems not only reduce costs and risks, but also help teams focus on new feature development and innovation with the exponential growth of PPDs.

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