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An optimal analytical solution for maximizing expected battery lifetime using the calculus of variations

  • Published:2020-03 Issue: Volume:71 Page:86-94
  • ISSN:0167-9260
  • Container-title:Integration
  • language:en
  • Short-container-title:Integration

Author:

Jafari-Nodoushan Mostafa,Ejlali Alireza

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Reference52 articles.

1. Battery optimization vs energy optimization: which to choose and when?,;Rao,2005

2. Battery-driven system design: a new frontier in low power design;Lahiri,2002

3. A hybrid battery model capable of capturing dynamic circuit characteristics and nonlinear capacity effects;Kim;IEEE Trans. Energy Convers.,2011

4. Static task-scheduling algorithms for battery-powered DVFS systems;Chowdhury;IEEE Trans. Very Large Scale Integr. Syst.,2005

5. Heuristics for static voltage scheduling algorithms on battery-powered DVFS systems;Yokoyama,2009

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1. A Review and Outlook on Predictive Cruise Control of Vehicles and Typical Applications Under Cloud Control System;Machine Intelligence Research;2023-03-09

2. A Power Consumption Perception and Dynamic Adjustment Model for Embedded Real-Time Systems;2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2021-12

3. Leakage-Aware Battery Lifetime Analysis Using the Calculus of Variations;IEEE Transactions on Circuits and Systems I: Regular Papers;2020-12
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