A Fuzzy Control Method for Priority Driven Embedded Device
The current goal is to minimize an embedded system consumption while maintaining all its features. Well-tuned power management becomes even more important in systems without any possibility of energy harvesting that rely solely on the battery power. The aim is a significant increase in the battery life without a desirable degradation in the quality of the service.
A fuzzy rule-based classifier is intended to secure a simulation of the priority of the operation and the battery voltage. The energy consumption is a critical concern in the battery operated embedded devices. Power management is one of the most important consider aspects in low-power embedded systems design.
This contribution studies the low power system in terms of the battery voltage level, depending on system priorities. The goal is to achieve the best possible efficiency of a whole device. The article offers a list of arrangements and applied methods having the most significant impact on the extension of the systems operating time.
KeywordsLow-power embedded system Fuzzy expert system Battery management system
This work was supported by the European Regional Development Fund in the Research Centre of Advanced Mechatronic Systems project, project number CZ.02.1.01/0.0/0.0/16_019/0000867 within the Operational Program Research, Development and Education s the project SP2018/160, “Development of algorithms and systems for control, measurement and safety applications IV” of Student Grant System, VSB-TU Ostrava.
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