Power Management of Hybrid Power Systems with Li-Fe Batteries and Supercapacitors for Mobile Robots

Power Management of Hybrid Power Systems with Li-Fe Batteries and Supercapacitors for Mobile Robots

This paper presents an energy management strategy of a Li-Fe battery and supercapacitor hybrid power system to provide both high power density and energy density for mobile robots with fluctuating workloads. A two-phase power-optimization approach is proposed to exploit the high power density of sup...

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Main Authors: Guohui Wang, Zhiquan Dai, Yong Guan, Pengfei Dong, Lifeng Wu
Format: Article
Language:English
Published: SAGE Publishing 2014-05-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1155/2014/270537
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spelling doaj-7a059c5d90fe47c49602019f20a009e62020-11-25T01:27:33ZengSAGE PublishingAdvances in Mechanical Engineering1687-81322014-05-01610.1155/2014/27053710.1155_2014/270537Power Management of Hybrid Power Systems with Li-Fe Batteries and Supercapacitors for Mobile RobotsGuohui Wang0Zhiquan Dai1Yong Guan2Pengfei Dong3Lifeng Wu4 School of Mathematical Sciences, Capital Normal University, Beijing 100048, China China National Software & Service CO. LTD., Beijing 102200, China College of Information Engineering, Capital Normal University, Beijing 100048, China College of Information Engineering, Capital Normal University, Beijing 100048, China College of Information Engineering, Capital Normal University, Beijing 100048, ChinaThis paper presents an energy management strategy of a Li-Fe battery and supercapacitor hybrid power system to provide both high power density and energy density for mobile robots with fluctuating workloads. A two-phase power-optimization approach is proposed to exploit the high power density of supercapacitors and the high energy density of Li-Fe batteries. With our strategy, large peak power can be provided for a short time period whenever needed, while low power can be provided for very long time. A set of experiments have been conducted. The experimental results show that our strategy can effectively improve the performance of mobile robots and extend the lifetime of batteries.https://doi.org/10.1155/2014/270537
collection DOAJ
language English
format Article
sources DOAJ
author Guohui Wang
Zhiquan Dai
Yong Guan
Pengfei Dong
Lifeng Wu
spellingShingle Guohui Wang
Zhiquan Dai
Yong Guan
Pengfei Dong
Lifeng Wu
Power Management of Hybrid Power Systems with Li-Fe Batteries and Supercapacitors for Mobile Robots
Advances in Mechanical Engineering
author_facet Guohui Wang
Zhiquan Dai
Yong Guan
Pengfei Dong
Lifeng Wu
author_sort Guohui Wang
title Power Management of Hybrid Power Systems with Li-Fe Batteries and Supercapacitors for Mobile Robots
title_short Power Management of Hybrid Power Systems with Li-Fe Batteries and Supercapacitors for Mobile Robots
title_full Power Management of Hybrid Power Systems with Li-Fe Batteries and Supercapacitors for Mobile Robots
title_fullStr Power Management of Hybrid Power Systems with Li-Fe Batteries and Supercapacitors for Mobile Robots
title_full_unstemmed Power Management of Hybrid Power Systems with Li-Fe Batteries and Supercapacitors for Mobile Robots
title_sort power management of hybrid power systems with li-fe batteries and supercapacitors for mobile robots
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8132
publishDate 2014-05-01
description This paper presents an energy management strategy of a Li-Fe battery and supercapacitor hybrid power system to provide both high power density and energy density for mobile robots with fluctuating workloads. A two-phase power-optimization approach is proposed to exploit the high power density of supercapacitors and the high energy density of Li-Fe batteries. With our strategy, large peak power can be provided for a short time period whenever needed, while low power can be provided for very long time. A set of experiments have been conducted. The experimental results show that our strategy can effectively improve the performance of mobile robots and extend the lifetime of batteries.
url https://doi.org/10.1155/2014/270537
work_keys_str_mv AT guohuiwang powermanagementofhybridpowersystemswithlifebatteriesandsupercapacitorsformobilerobots
AT zhiquandai powermanagementofhybridpowersystemswithlifebatteriesandsupercapacitorsformobilerobots
AT yongguan powermanagementofhybridpowersystemswithlifebatteriesandsupercapacitorsformobilerobots
AT pengfeidong powermanagementofhybridpowersystemswithlifebatteriesandsupercapacitorsformobilerobots
AT lifengwu powermanagementofhybridpowersystemswithlifebatteriesandsupercapacitorsformobilerobots
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