嵌入式系统功耗优化电池模型  

A GSPN Battery Model for Embedded System Energy Optimization

作　　者：吴琦[1] 熊光泽[1] 

机构地区：[1]电子科技大学计算机科学与工程学院,成都610054

出　　处：《电子科技大学学报》2007年第3期551-554,共4页Journal of University of Electronic Science and Technology of China

基　　金：国家836计划资助项目(2003AA1Z2210)

摘　　要：以锂电池为例,利用广义随机Petri网(GSPN)描述化学电池放电的极化和活性物质扩散过程,提出可同时反映化学电池电流相关和自恢复特性的高层抽象模型。该模型简单,仅包括反映活性物质分布、活性物质扩散速度和极化速度的四个简单的参数。恒流放电和脉冲放电实验显示该电池模型可以快速准确估算化学电池容量。Energy is the main constraint of embedded system design. In this paper, the General Stochastic Petri Net （GSPN） is used to describe the processes of electrochemical polarization and active substances diffusion in Li-ion batteries. A abstract high-level non-real battery model is presented which accurately characterized the rate-dependent and recovery feature of Li-ion batteries. The model simply adopts four easy-obtained parameters. Constant current discharge and pulse discharge experiment demonstrate that the lifetime of chemical battery could be fast and accurately estimated with this battery model.

关 键 词：电池模型 广义随机PETRI网 嵌入式 功耗设计 非理想电池 

分 类 号：TP316[自动化与计算机技术—计算机软件与理论] TP311[自动化与计算机技术—计算机科学与技术]