For the design of complex digital signal processing systems, block diagram oriented synthesis of real time software for programmable target processors has become an important design aid. The synthesis approach discussed in this paper is based on multirate block diagrams with scalable synchronous data ow (SSDF) semantics. For this class of data ow graphs we present s c heduling techniques for optimum data memory compaction. These techniques can be employed to map signals of a block diagram onto a minimum data memory space. In order to formalize the data memory compaction problem, we rst derive appropriate implementation measures. Based on these implementation measures it can be shown that optimum data memory compaction consists of optimum scheduling as well as optimum memory allocation. For the class of single appearance (SA) block diagrams with SSDF semantics, scheduling can be reduced to an integer linear programming (ILP) problem. Due to the computational complexity of ILP, w e also present a suboptimum scheduling selection criterion, which can be used for SA and non SA-schedulers.

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For the design of compkz digital signal proceesing systems, block d i a g " oriented s i mulation ha8 become a widely accepted standad. Current reseamh is concerned with the m p l i n g of hetenyenous simulation engines and the Lronsition simulation to the impkmmtahn of digital a & d p n x e 8 s h g systems. Due to the disFcuicy in mastering eompkz design epaces high level harumre and softwaw synthesis is becoming i&ngly important.I n this p8entation we Concentmte on the block d i a g " oriented sofhwre synthesis of digital signal pnxessing systems for pmgmmmabk pmcessors, such as digital signal pnxessors (DSP). We present the synthesis enmnmment DESCARTES illustmting m e 1 0ptimi.m tion stmtegies. P h k n w r e we discuss goal d i d softwm synthesis, by which code is interoetimdy or automatically genemted, which can be adapted to the applioation @jie needs imposed by constmints on "oty space, sampling mte or latency.

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Thanks to its exceptional performance in terms of high energy and power density as well as long lifespan, the lithium-ion secondary battery is the most relevant electrochemical energy storage technology to meet the requirements for partial or full electrification of vehicles (plug-in hybrids or pure electric vehicles), and thanks to decreasing cost and ongoing technical improvements, it will maintain this role in the near to mid-term future. This study benchmarks eight different (five 21700 and three 18650 format) high-energy cylindrical cells concerning their suitability for automotive applications and aims to give a holistic overview and comparison between them. Therefore, an ante-mortem material analysis, a benchmark of electrical and thermal values as well as a cycle life study were carried out. The results show that even when applying similar concepts like Nickel-rich cathodes with graphite-based anodes, the cells show wide variations in their performance under the same test conditions.