Development of new energy management strategy for a household fuel cell/battery hybrid system
Summary This work aims to construct an efficient and robust fuel cell/battery hybrid operating system for a household application. The ability to dispatch the power demands, sustain the state of charge (SOC) of battery, optimize the power consumption, and more importantly, ensure the durability as w...
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| Veröffentlicht in: | International journal of energy research 2019-07, Vol.43 (9), p.4686-4700 |
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| container_title | International journal of energy research |
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| creator | Ou, Kai Yuan, Wei‐Wei Choi, Mihwa Kim, Jungsuk Kim, Young‐Bae |
| description | Summary
This work aims to construct an efficient and robust fuel cell/battery hybrid operating system for a household application. The ability to dispatch the power demands, sustain the state of charge (SOC) of battery, optimize the power consumption, and more importantly, ensure the durability as well as extend the lifetime of a fuel cell system is the basic requirements of the hybrid operating system. New power management strategy based on fuzzy logical combined state machine control is developed, and its effectiveness is compared with various strategies such as dynamic programming (DP), state machine control, and fuzzy logical control with simulation. Experimental results are also presented, except for DP because of difficulties in achieving real‐time implementation and much faster response to load variation. The given current from the energy management system (EMS) as a reference of the fuel cell output current is determined by filtering out various harmful signals. The new power management strategy is applied to a 1‐kW stationary fuel cell/battery hybrid system. Results show that the fuel cell hybrid system can run much smoothly with prolonged lifetime.
New power management strategy based on fuzzy logical combined state machine control is developed for a household fuel cell/battery hybrid system. New power management strategy is applied to a 1‐kW stationary fuel cell/battery hybrid system. New power management strategy can provide optimal fuel consumption as well as prolong the durability of fuel cell and battery. |
| doi_str_mv | 10.1002/er.4606 |
| format | Article |
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This work aims to construct an efficient and robust fuel cell/battery hybrid operating system for a household application. The ability to dispatch the power demands, sustain the state of charge (SOC) of battery, optimize the power consumption, and more importantly, ensure the durability as well as extend the lifetime of a fuel cell system is the basic requirements of the hybrid operating system. New power management strategy based on fuzzy logical combined state machine control is developed, and its effectiveness is compared with various strategies such as dynamic programming (DP), state machine control, and fuzzy logical control with simulation. Experimental results are also presented, except for DP because of difficulties in achieving real‐time implementation and much faster response to load variation. The given current from the energy management system (EMS) as a reference of the fuel cell output current is determined by filtering out various harmful signals. The new power management strategy is applied to a 1‐kW stationary fuel cell/battery hybrid system. Results show that the fuel cell hybrid system can run much smoothly with prolonged lifetime.
New power management strategy based on fuzzy logical combined state machine control is developed for a household fuel cell/battery hybrid system. New power management strategy is applied to a 1‐kW stationary fuel cell/battery hybrid system. New power management strategy can provide optimal fuel consumption as well as prolong the durability of fuel cell and battery.</description><identifier>ISSN: 0363-907X</identifier><identifier>EISSN: 1099-114X</identifier><identifier>DOI: 10.1002/er.4606</identifier><language>eng</language><publisher>Bognor Regis: Hindawi Limited</publisher><subject>Automobile industry ; Batteries ; Control ; Dynamic programming ; Energy management ; energy management system (EMS) ; Fuel cells ; Fuel technology ; Fuzzy control ; Fuzzy logic ; fuzzy logical control ; Fuzzy systems ; hybrid power system ; Hybrid systems ; PEM fuel cell system ; Power consumption ; Power management ; state machine control ; State machines ; State of charge ; Strategy</subject><ispartof>International journal of energy research, 2019-07, Vol.43 (9), p.4686-4700</ispartof><rights>2019 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3616-52254f95edcb07d1d4765f97d7d810f2dbe8c3123f2baca7558c48b53b58f80b3</citedby><cites>FETCH-LOGICAL-c3616-52254f95edcb07d1d4765f97d7d810f2dbe8c3123f2baca7558c48b53b58f80b3</cites><orcidid>0000-0001-9012-1188 ; 0000-0003-2659-2115</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fer.4606$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fer.4606$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Ou, Kai</creatorcontrib><creatorcontrib>Yuan, Wei‐Wei</creatorcontrib><creatorcontrib>Choi, Mihwa</creatorcontrib><creatorcontrib>Kim, Jungsuk</creatorcontrib><creatorcontrib>Kim, Young‐Bae</creatorcontrib><title>Development of new energy management strategy for a household fuel cell/battery hybrid system</title><title>International journal of energy research</title><description>Summary
This work aims to construct an efficient and robust fuel cell/battery hybrid operating system for a household application. The ability to dispatch the power demands, sustain the state of charge (SOC) of battery, optimize the power consumption, and more importantly, ensure the durability as well as extend the lifetime of a fuel cell system is the basic requirements of the hybrid operating system. New power management strategy based on fuzzy logical combined state machine control is developed, and its effectiveness is compared with various strategies such as dynamic programming (DP), state machine control, and fuzzy logical control with simulation. Experimental results are also presented, except for DP because of difficulties in achieving real‐time implementation and much faster response to load variation. The given current from the energy management system (EMS) as a reference of the fuel cell output current is determined by filtering out various harmful signals. The new power management strategy is applied to a 1‐kW stationary fuel cell/battery hybrid system. Results show that the fuel cell hybrid system can run much smoothly with prolonged lifetime.
New power management strategy based on fuzzy logical combined state machine control is developed for a household fuel cell/battery hybrid system. New power management strategy is applied to a 1‐kW stationary fuel cell/battery hybrid system. New power management strategy can provide optimal fuel consumption as well as prolong the durability of fuel cell and battery.</description><subject>Automobile industry</subject><subject>Batteries</subject><subject>Control</subject><subject>Dynamic programming</subject><subject>Energy management</subject><subject>energy management system (EMS)</subject><subject>Fuel cells</subject><subject>Fuel technology</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>fuzzy logical control</subject><subject>Fuzzy systems</subject><subject>hybrid power system</subject><subject>Hybrid systems</subject><subject>PEM fuel cell system</subject><subject>Power consumption</subject><subject>Power management</subject><subject>state machine control</subject><subject>State machines</subject><subject>State of charge</subject><subject>Strategy</subject><issn>0363-907X</issn><issn>1099-114X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp10F1LwzAUBuAgCs4p_oWAF15It3w0bXopc36AIIjCbiQkzck-aJuZtI7-e7vNW68OnPfhHHgRuqZkQglhUwiTNCPZCRpRUhQJpeniFI0Iz3hSkHxxji5i3BAyZDQfoa8H-IHKb2toWuwdbmCHoYGw7HGtG72EQxDboFsYds4HrPHKdxFWvrLYdVDhEqpqanTbQujxqjdhbXHsYwv1JTpzuopw9TfH6PNx_jF7Tl7fnl5m969JyTOaJYIxkbpCgC0NyS21aZ4JV-Q2t5ISx6wBWXLKuGNGlzoXQpapNIIbIZ0kho_RzfHuNvjvDmKrNr4LzfBSMZYxIVNeyEHdHlUZfIwBnNqGda1DryhR--4UBLXvbpB3R7lbV9D_x9T8_aB_AXDPb-Q</recordid><startdate>201907</startdate><enddate>201907</enddate><creator>Ou, Kai</creator><creator>Yuan, Wei‐Wei</creator><creator>Choi, Mihwa</creator><creator>Kim, Jungsuk</creator><creator>Kim, Young‐Bae</creator><general>Hindawi Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>7TB</scope><scope>7TN</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>F28</scope><scope>FR3</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-9012-1188</orcidid><orcidid>https://orcid.org/0000-0003-2659-2115</orcidid></search><sort><creationdate>201907</creationdate><title>Development of new energy management strategy for a household fuel cell/battery hybrid system</title><author>Ou, Kai ; Yuan, Wei‐Wei ; Choi, Mihwa ; Kim, Jungsuk ; Kim, Young‐Bae</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3616-52254f95edcb07d1d4765f97d7d810f2dbe8c3123f2baca7558c48b53b58f80b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Automobile industry</topic><topic>Batteries</topic><topic>Control</topic><topic>Dynamic programming</topic><topic>Energy management</topic><topic>energy management system (EMS)</topic><topic>Fuel cells</topic><topic>Fuel technology</topic><topic>Fuzzy control</topic><topic>Fuzzy logic</topic><topic>fuzzy logical control</topic><topic>Fuzzy systems</topic><topic>hybrid power system</topic><topic>Hybrid systems</topic><topic>PEM fuel cell system</topic><topic>Power consumption</topic><topic>Power management</topic><topic>state machine control</topic><topic>State machines</topic><topic>State of charge</topic><topic>Strategy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ou, Kai</creatorcontrib><creatorcontrib>Yuan, Wei‐Wei</creatorcontrib><creatorcontrib>Choi, Mihwa</creatorcontrib><creatorcontrib>Kim, Jungsuk</creatorcontrib><creatorcontrib>Kim, Young‐Bae</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>International journal of energy research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ou, Kai</au><au>Yuan, Wei‐Wei</au><au>Choi, Mihwa</au><au>Kim, Jungsuk</au><au>Kim, Young‐Bae</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of new energy management strategy for a household fuel cell/battery hybrid system</atitle><jtitle>International journal of energy research</jtitle><date>2019-07</date><risdate>2019</risdate><volume>43</volume><issue>9</issue><spage>4686</spage><epage>4700</epage><pages>4686-4700</pages><issn>0363-907X</issn><eissn>1099-114X</eissn><abstract>Summary
This work aims to construct an efficient and robust fuel cell/battery hybrid operating system for a household application. The ability to dispatch the power demands, sustain the state of charge (SOC) of battery, optimize the power consumption, and more importantly, ensure the durability as well as extend the lifetime of a fuel cell system is the basic requirements of the hybrid operating system. New power management strategy based on fuzzy logical combined state machine control is developed, and its effectiveness is compared with various strategies such as dynamic programming (DP), state machine control, and fuzzy logical control with simulation. Experimental results are also presented, except for DP because of difficulties in achieving real‐time implementation and much faster response to load variation. The given current from the energy management system (EMS) as a reference of the fuel cell output current is determined by filtering out various harmful signals. The new power management strategy is applied to a 1‐kW stationary fuel cell/battery hybrid system. Results show that the fuel cell hybrid system can run much smoothly with prolonged lifetime.
New power management strategy based on fuzzy logical combined state machine control is developed for a household fuel cell/battery hybrid system. New power management strategy is applied to a 1‐kW stationary fuel cell/battery hybrid system. New power management strategy can provide optimal fuel consumption as well as prolong the durability of fuel cell and battery.</abstract><cop>Bognor Regis</cop><pub>Hindawi Limited</pub><doi>10.1002/er.4606</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-9012-1188</orcidid><orcidid>https://orcid.org/0000-0003-2659-2115</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Automobile industry Batteries Control Dynamic programming Energy management energy management system (EMS) Fuel cells Fuel technology Fuzzy control Fuzzy logic fuzzy logical control Fuzzy systems hybrid power system Hybrid systems PEM fuel cell system Power consumption Power management state machine control State machines State of charge Strategy |
| title | Development of new energy management strategy for a household fuel cell/battery hybrid system |
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