首页> 外文会议>Global Powertrain Congress on Advanced Transmission Design amp; Performance vol.37; 20060919-21; Novi,MI(US) >Usage of Floating-Point Data Types and Vector Arithmetic in Powertrain Applications
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Usage of Floating-Point Data Types and Vector Arithmetic in Powertrain Applications

机译:动力系统应用中浮点数据类型和矢量算法的使用

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The changing requirements for powertrain control systems, driven by legislation and competition, have influenced the evolution of electronic circuits in the past and continue to do so. Those factors and that evolution have now progressed to the point where some traditional engineering solutions that have been successful in the past may no longer be optimum. Perhaps there now is a better way to shape the underlying integrated circuit hardware for powertrain systems, specifically engine and transmission control. This paper presents reasons for adopting single-precision floatingpoint arithmetic (1-bit sign, 8-bit exponent and 23-bit mantissa) in conjunction with a Fast Fourier Transform (FFT) library, rather than using the double-precision arithmetic, to replace a portion of the map-table based control systems. It attempts to provide an unbiased benchmark study that systematically compares the accuracy and hardware cost of both approaches, using the Mat lab as a reference. The benchmark data suggest that a reasonable single-precision floating-point DSP library implementation can offer a robust and efficient system solution for a typical powertrain application that meets current economic constraints. Although certain computations can best be done on double-precision floating-point arithmetic, such cases are rare. Consequently, using a fast single-precision floating-point arithmetic solution supplemented with double-precision floating-point arithmetic is the optimum compromise for future powertrain control designs.
机译:在立法和竞争的推动下,对动力总成控制系统的要求不断变化,过去已经影响了电子电路的发展,并将继续如此。这些因素以及这种演变现在已经发展到一定程度,以至于某些过去成功的传统工程解决方案可能不再是最佳的。也许现在有更好的方法来塑造用于动力总成系统的基础集成电路硬件,特别是引擎和变速器控制。本文介绍了使用单精度浮点算法(1位符号,8位指数和23位尾数)结合快速傅里叶变换(FFT)库而不是使用双精度算法代替的原因。基于地图表的控制系统的一部分。它试图提供一个公正的基准研究,以Mat实验室为参考,系统地比较这两种方法的准确性和硬件成本。基准数据表明,合理的单精度浮点DSP库实现可以为满足当前经济限制的典型动力总成应用提供强大而有效的系统解决方案。尽管某些计算可以最好地在双精度浮点算术上完成,但这种情况很少见。因此,使用快速单精度浮点算术解决方案并辅以双精度浮点算术是将来动力总成控制设计的最佳折衷方案。

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