Intelligent Energy Management System for Mobile Robot
Mobile robots used for search and rescue suffer from uncertain time duration for sustainable operation. Solar energy has the drawback that it fluctuates depending on the weather. By integrating the battery and supercapacitor, the energy management system eliminates this shortcoming. Managing power s...
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| Veröffentlicht in: | Sustainability 2022-08, Vol.14 (16), p.10056 |
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| creator | Lee, Min-Fan Ricky Nugroho, Asep |
| description | Mobile robots used for search and rescue suffer from uncertain time duration for sustainable operation. Solar energy has the drawback that it fluctuates depending on the weather. By integrating the battery and supercapacitor, the energy management system eliminates this shortcoming. Managing power sharing between the battery and the supercapacitor is conducted by the fuzzy logic controller and proportional integral controller. The fuzzy logic controller provides a reference value to the proportional integral controller to keep the supercapacitor voltage at a certain value. It provides sufficient space to store solar energy and at the same time helps the battery to stay longer for operation. Moreover, the proposed energy management system offers a feature for providing a load power reference recommendation and offers the hibernate mode to save energy when the main power source is too weak, and it is suitable for mobile robot application. The simulation and experiment show that the energy management system design maintains the supercapacitor voltage and regulates the power sharing. Moreover, it also provides a percentage power reference recommendation for the central controller to manage its load current. It reduces the battery power consumption up to 35% and reduces peak current up to 5%, depending on the existing photovoltaic current and load management. |
| doi_str_mv | 10.3390/su141610056 |
| format | Article |
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Solar energy has the drawback that it fluctuates depending on the weather. By integrating the battery and supercapacitor, the energy management system eliminates this shortcoming. Managing power sharing between the battery and the supercapacitor is conducted by the fuzzy logic controller and proportional integral controller. The fuzzy logic controller provides a reference value to the proportional integral controller to keep the supercapacitor voltage at a certain value. It provides sufficient space to store solar energy and at the same time helps the battery to stay longer for operation. Moreover, the proposed energy management system offers a feature for providing a load power reference recommendation and offers the hibernate mode to save energy when the main power source is too weak, and it is suitable for mobile robot application. The simulation and experiment show that the energy management system design maintains the supercapacitor voltage and regulates the power sharing. Moreover, it also provides a percentage power reference recommendation for the central controller to manage its load current. It reduces the battery power consumption up to 35% and reduces peak current up to 5%, depending on the existing photovoltaic current and load management.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su141610056</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Batteries ; Capacitors ; Control ; Control algorithms ; Controllers ; Design and construction ; Electric potential ; Energy ; Energy management ; Energy management systems ; Energy storage ; Energy use ; Fuzzy algorithms ; Fuzzy logic ; Fuzzy systems ; Mathematical models ; Mobile robots ; Photovoltaics ; Power consumption ; Power management ; Power sources ; Robots ; Search and rescue ; Search and rescue missions ; Search and rescue operations ; Solar energy ; Supercapacitors ; Sustainability ; Systems design ; Testing ; Ultracapacitors ; Voltage</subject><ispartof>Sustainability, 2022-08, Vol.14 (16), p.10056</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c301t-de64d6faa390657cad966e5fe42619dcabd3fdb109da6630f33f69f3e9d6020d3</citedby><cites>FETCH-LOGICAL-c301t-de64d6faa390657cad966e5fe42619dcabd3fdb109da6630f33f69f3e9d6020d3</cites><orcidid>0000-0001-5021-1154 ; 0000-0003-2846-4889</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Lee, Min-Fan Ricky</creatorcontrib><creatorcontrib>Nugroho, Asep</creatorcontrib><title>Intelligent Energy Management System for Mobile Robot</title><title>Sustainability</title><description>Mobile robots used for search and rescue suffer from uncertain time duration for sustainable operation. Solar energy has the drawback that it fluctuates depending on the weather. By integrating the battery and supercapacitor, the energy management system eliminates this shortcoming. Managing power sharing between the battery and the supercapacitor is conducted by the fuzzy logic controller and proportional integral controller. The fuzzy logic controller provides a reference value to the proportional integral controller to keep the supercapacitor voltage at a certain value. It provides sufficient space to store solar energy and at the same time helps the battery to stay longer for operation. Moreover, the proposed energy management system offers a feature for providing a load power reference recommendation and offers the hibernate mode to save energy when the main power source is too weak, and it is suitable for mobile robot application. The simulation and experiment show that the energy management system design maintains the supercapacitor voltage and regulates the power sharing. 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It reduces the battery power consumption up to 35% and reduces peak current up to 5%, depending on the existing photovoltaic current and load management.</description><subject>Batteries</subject><subject>Capacitors</subject><subject>Control</subject><subject>Control algorithms</subject><subject>Controllers</subject><subject>Design and construction</subject><subject>Electric potential</subject><subject>Energy</subject><subject>Energy management</subject><subject>Energy management systems</subject><subject>Energy storage</subject><subject>Energy use</subject><subject>Fuzzy algorithms</subject><subject>Fuzzy logic</subject><subject>Fuzzy systems</subject><subject>Mathematical models</subject><subject>Mobile robots</subject><subject>Photovoltaics</subject><subject>Power consumption</subject><subject>Power management</subject><subject>Power sources</subject><subject>Robots</subject><subject>Search and rescue</subject><subject>Search and rescue missions</subject><subject>Search and rescue operations</subject><subject>Solar energy</subject><subject>Supercapacitors</subject><subject>Sustainability</subject><subject>Systems design</subject><subject>Testing</subject><subject>Ultracapacitors</subject><subject>Voltage</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpVkMFqwzAMhs3YYKXraS8Q2GmMdHacOPWxlG4rtAza7WycWA4pid3ZDqxvP5fu0EoHCfH90o8QeiR4SinHr34gOWEE44LdoFGGS5ISXODbi_4eTbzf4xiUEk7YCBUrE6Dr2gZMSJYGXHNMNtLIBvrTZHf0AfpEW5dsbNV2kGxtZcMDutOy8zD5r2P0_bb8Wnyk68_31WK-TmuKSUgVsFwxLWW0x4qyloozBoWGPGOEq1pWimpVEcyVZIxiTalmXFPgiuEMKzpGT-e9B2d_BvBB7O3gTDwpshKzPC9ndBap6ZlqZAeiNdoGJ-uYCvq2tgZ0NC7mZc54waOxKHi-EkQmwG9o5OC9WO221-zLma2d9d6BFgfX9tIdBcHi9Hdx8Xf6BxiFctE</recordid><startdate>20220801</startdate><enddate>20220801</enddate><creator>Lee, Min-Fan Ricky</creator><creator>Nugroho, Asep</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0001-5021-1154</orcidid><orcidid>https://orcid.org/0000-0003-2846-4889</orcidid></search><sort><creationdate>20220801</creationdate><title>Intelligent Energy Management System for Mobile Robot</title><author>Lee, Min-Fan Ricky ; Nugroho, Asep</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c301t-de64d6faa390657cad966e5fe42619dcabd3fdb109da6630f33f69f3e9d6020d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Batteries</topic><topic>Capacitors</topic><topic>Control</topic><topic>Control algorithms</topic><topic>Controllers</topic><topic>Design and construction</topic><topic>Electric potential</topic><topic>Energy</topic><topic>Energy management</topic><topic>Energy management systems</topic><topic>Energy storage</topic><topic>Energy use</topic><topic>Fuzzy algorithms</topic><topic>Fuzzy logic</topic><topic>Fuzzy systems</topic><topic>Mathematical models</topic><topic>Mobile robots</topic><topic>Photovoltaics</topic><topic>Power consumption</topic><topic>Power management</topic><topic>Power sources</topic><topic>Robots</topic><topic>Search and rescue</topic><topic>Search and rescue missions</topic><topic>Search and rescue operations</topic><topic>Solar energy</topic><topic>Supercapacitors</topic><topic>Sustainability</topic><topic>Systems design</topic><topic>Testing</topic><topic>Ultracapacitors</topic><topic>Voltage</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Min-Fan Ricky</creatorcontrib><creatorcontrib>Nugroho, Asep</creatorcontrib><collection>CrossRef</collection><collection>Science (Gale in Context)</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Min-Fan Ricky</au><au>Nugroho, Asep</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intelligent Energy Management System for Mobile Robot</atitle><jtitle>Sustainability</jtitle><date>2022-08-01</date><risdate>2022</risdate><volume>14</volume><issue>16</issue><spage>10056</spage><pages>10056-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>Mobile robots used for search and rescue suffer from uncertain time duration for sustainable operation. Solar energy has the drawback that it fluctuates depending on the weather. By integrating the battery and supercapacitor, the energy management system eliminates this shortcoming. Managing power sharing between the battery and the supercapacitor is conducted by the fuzzy logic controller and proportional integral controller. The fuzzy logic controller provides a reference value to the proportional integral controller to keep the supercapacitor voltage at a certain value. It provides sufficient space to store solar energy and at the same time helps the battery to stay longer for operation. Moreover, the proposed energy management system offers a feature for providing a load power reference recommendation and offers the hibernate mode to save energy when the main power source is too weak, and it is suitable for mobile robot application. The simulation and experiment show that the energy management system design maintains the supercapacitor voltage and regulates the power sharing. 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| ispartof | Sustainability, 2022-08, Vol.14 (16), p.10056 |
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| language | eng |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; EZB Electronic Journals Library |
| subjects | Batteries Capacitors Control Control algorithms Controllers Design and construction Electric potential Energy Energy management Energy management systems Energy storage Energy use Fuzzy algorithms Fuzzy logic Fuzzy systems Mathematical models Mobile robots Photovoltaics Power consumption Power management Power sources Robots Search and rescue Search and rescue missions Search and rescue operations Solar energy Supercapacitors Sustainability Systems design Testing Ultracapacitors Voltage |
| title | Intelligent Energy Management System for Mobile Robot |
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