Batu Pahat Driving Cycle for Light Duty Gasoline Engine
Driving cycle is a series of data points that represents the vehicle speed versus time. Transient driving cycles involve many changes such as frequent speed changes during typical on-road driving condition [2]. Model driving cycles involve protracted periods at constant speeds. The Batu Pahat Drivin...
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| Veröffentlicht in: | IOP conference series. Materials Science and Engineering 2017-08, Vol.226 (1), p.12004 |
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| creator | Zainul Abidin, Zainul Ameerul Ikhsan B Hushim, Mohd Faisal Ahmad, Osman Bin |
| description | Driving cycle is a series of data points that represents the vehicle speed versus time. Transient driving cycles involve many changes such as frequent speed changes during typical on-road driving condition [2]. Model driving cycles involve protracted periods at constant speeds. The Batu Pahat Driving Cycle (BPDC) developed to represent the driving pattern of people in a district of Batu Pahat. Based on this driving cycle, it will be a reference to other researchers to study about the gases emission release and fuel consumption by the vehicle on the dynamometer or automotive simulation based on this driving cycle. Existing driving cycles used such as the New European Driving Cycle (NEDC), the Federal Test Procedure (FTP-72/75, and Japan 10-15 Mode Cycle is not appropriate for Batu Pahat district because of different road conditions, driving habits and environmental of developed driving cycle countries are not same [2][14]. Batu Pahat drive cycle was developed for low-capacity gasoline engine under 150 cc and operating on urban roads, rural roads and road around Universiti Tun Hussein Onn. The importance of these driving cycle as the reference for other research to measure and do automotive simulation regarding fuel consumption and gas emission release from the motorcycle for these three type of driving cycle area. Another use for driving cycles is in vehicle simulations [3]. More specifically, they are used in propulsion system simulations to predict the performance of internal combustion engines, transmissions, electric drive systems, batteries, fuel cell systems, and similar components [18]. Data collection methods used in this study is the use of Global Positioning System (GPS). The results obtained are not similar to each other due to differences in congestion on data taken. From the driving cycle graph obtained, such as the average velocity, maximum velocity, the duration and Positive Acceleration Kinetic Energy (PKE) can be determined. In addition, the best driving cycle sample can be determined from the sum of error calculated. The least sum of error means the best driving cycle |
| doi_str_mv | 10.1088/1757-899X/226/1/012004 |
| format | Article |
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Transient driving cycles involve many changes such as frequent speed changes during typical on-road driving condition [2]. Model driving cycles involve protracted periods at constant speeds. The Batu Pahat Driving Cycle (BPDC) developed to represent the driving pattern of people in a district of Batu Pahat. Based on this driving cycle, it will be a reference to other researchers to study about the gases emission release and fuel consumption by the vehicle on the dynamometer or automotive simulation based on this driving cycle. Existing driving cycles used such as the New European Driving Cycle (NEDC), the Federal Test Procedure (FTP-72/75, and Japan 10-15 Mode Cycle is not appropriate for Batu Pahat district because of different road conditions, driving habits and environmental of developed driving cycle countries are not same [2][14]. Batu Pahat drive cycle was developed for low-capacity gasoline engine under 150 cc and operating on urban roads, rural roads and road around Universiti Tun Hussein Onn. The importance of these driving cycle as the reference for other research to measure and do automotive simulation regarding fuel consumption and gas emission release from the motorcycle for these three type of driving cycle area. Another use for driving cycles is in vehicle simulations [3]. More specifically, they are used in propulsion system simulations to predict the performance of internal combustion engines, transmissions, electric drive systems, batteries, fuel cell systems, and similar components [18]. Data collection methods used in this study is the use of Global Positioning System (GPS). The results obtained are not similar to each other due to differences in congestion on data taken. From the driving cycle graph obtained, such as the average velocity, maximum velocity, the duration and Positive Acceleration Kinetic Energy (PKE) can be determined. In addition, the best driving cycle sample can be determined from the sum of error calculated. The least sum of error means the best driving cycle</description><identifier>ISSN: 1757-8981</identifier><identifier>EISSN: 1757-899X</identifier><identifier>DOI: 10.1088/1757-899X/226/1/012004</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Acceleration ; Automotive engines ; Automotive fuels ; Data collection ; Data points ; Driving conditions ; Electric drives ; Emission analysis ; Fuel cells ; Fuel consumption ; Gasoline engines ; Global positioning systems ; GPS ; Internal combustion engines ; Kinetic energy ; Motorcycles ; Propulsion system performance ; Roads & highways ; Rural roads ; Simulation ; Traffic speed ; Velocity</subject><ispartof>IOP conference series. Materials Science and Engineering, 2017-08, Vol.226 (1), p.12004</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2017. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). 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><cites>FETCH-LOGICAL-c354t-ed25587b7018bb46ea70a4cba6424764eb36d49a76182fca498d3ccfdd3b326b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1757-899X/226/1/012004/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,776,780,27901,27902,38845,38867,53815,53842</link.rule.ids></links><search><creatorcontrib>Zainul Abidin, Zainul Ameerul Ikhsan B</creatorcontrib><creatorcontrib>Hushim, Mohd Faisal</creatorcontrib><creatorcontrib>Ahmad, Osman Bin</creatorcontrib><title>Batu Pahat Driving Cycle for Light Duty Gasoline Engine</title><title>IOP conference series. Materials Science and Engineering</title><addtitle>IOP Conf. Ser.: Mater. Sci. Eng</addtitle><description>Driving cycle is a series of data points that represents the vehicle speed versus time. Transient driving cycles involve many changes such as frequent speed changes during typical on-road driving condition [2]. Model driving cycles involve protracted periods at constant speeds. The Batu Pahat Driving Cycle (BPDC) developed to represent the driving pattern of people in a district of Batu Pahat. Based on this driving cycle, it will be a reference to other researchers to study about the gases emission release and fuel consumption by the vehicle on the dynamometer or automotive simulation based on this driving cycle. Existing driving cycles used such as the New European Driving Cycle (NEDC), the Federal Test Procedure (FTP-72/75, and Japan 10-15 Mode Cycle is not appropriate for Batu Pahat district because of different road conditions, driving habits and environmental of developed driving cycle countries are not same [2][14]. Batu Pahat drive cycle was developed for low-capacity gasoline engine under 150 cc and operating on urban roads, rural roads and road around Universiti Tun Hussein Onn. The importance of these driving cycle as the reference for other research to measure and do automotive simulation regarding fuel consumption and gas emission release from the motorcycle for these three type of driving cycle area. Another use for driving cycles is in vehicle simulations [3]. More specifically, they are used in propulsion system simulations to predict the performance of internal combustion engines, transmissions, electric drive systems, batteries, fuel cell systems, and similar components [18]. Data collection methods used in this study is the use of Global Positioning System (GPS). The results obtained are not similar to each other due to differences in congestion on data taken. From the driving cycle graph obtained, such as the average velocity, maximum velocity, the duration and Positive Acceleration Kinetic Energy (PKE) can be determined. In addition, the best driving cycle sample can be determined from the sum of error calculated. The least sum of error means the best driving cycle</description><subject>Acceleration</subject><subject>Automotive engines</subject><subject>Automotive fuels</subject><subject>Data collection</subject><subject>Data points</subject><subject>Driving conditions</subject><subject>Electric drives</subject><subject>Emission analysis</subject><subject>Fuel cells</subject><subject>Fuel consumption</subject><subject>Gasoline engines</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Internal combustion engines</subject><subject>Kinetic energy</subject><subject>Motorcycles</subject><subject>Propulsion system performance</subject><subject>Roads & highways</subject><subject>Rural roads</subject><subject>Simulation</subject><subject>Traffic speed</subject><subject>Velocity</subject><issn>1757-8981</issn><issn>1757-899X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkF9LwzAUxYMoOKdfQQK--FKbf03SR53bFCYKKvgWkjTtOmZbk1bot7ejMhEEn-7l3nPO5f4AOMfoCiMpYywSEck0fYsJ4TGOESYIsQMw2S8O973Ex-AkhA1CXDCGJkDc6LaDT3qtW3jry8-yKuCst1sH89rDVVmsh3nX9nCpQ70tKwfnVTGUU3CU621wZ991Cl4X85fZXbR6XN7PrleRpQlrI5eRJJHCCISlMYw7LZBm1mjOCBOcOUN5xlItOJYkt5qlMqPW5llGDSXc0Cm4GHMbX390LrRqU3e-Gk4qknCGUkoxHVR8VFlfh-BdrhpfvmvfK4zUDpLa_a92LNQASWE1QhqMZDSWdfOT_K_p8g_Tw_P8l0w1WU6_AGMidKU</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Zainul Abidin, Zainul Ameerul Ikhsan B</creator><creator>Hushim, Mohd Faisal</creator><creator>Ahmad, Osman Bin</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20170801</creationdate><title>Batu Pahat Driving Cycle for Light Duty Gasoline Engine</title><author>Zainul Abidin, Zainul Ameerul Ikhsan B ; Hushim, Mohd Faisal ; Ahmad, Osman Bin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c354t-ed25587b7018bb46ea70a4cba6424764eb36d49a76182fca498d3ccfdd3b326b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Acceleration</topic><topic>Automotive engines</topic><topic>Automotive fuels</topic><topic>Data collection</topic><topic>Data points</topic><topic>Driving conditions</topic><topic>Electric drives</topic><topic>Emission analysis</topic><topic>Fuel cells</topic><topic>Fuel consumption</topic><topic>Gasoline engines</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Internal combustion engines</topic><topic>Kinetic energy</topic><topic>Motorcycles</topic><topic>Propulsion system performance</topic><topic>Roads & highways</topic><topic>Rural roads</topic><topic>Simulation</topic><topic>Traffic speed</topic><topic>Velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zainul Abidin, Zainul Ameerul Ikhsan B</creatorcontrib><creatorcontrib>Hushim, Mohd Faisal</creatorcontrib><creatorcontrib>Ahmad, Osman Bin</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</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><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>IOP conference series. Materials Science and Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zainul Abidin, Zainul Ameerul Ikhsan B</au><au>Hushim, Mohd Faisal</au><au>Ahmad, Osman Bin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Batu Pahat Driving Cycle for Light Duty Gasoline Engine</atitle><jtitle>IOP conference series. Materials Science and Engineering</jtitle><addtitle>IOP Conf. Ser.: Mater. Sci. Eng</addtitle><date>2017-08-01</date><risdate>2017</risdate><volume>226</volume><issue>1</issue><spage>12004</spage><pages>12004-</pages><issn>1757-8981</issn><eissn>1757-899X</eissn><abstract>Driving cycle is a series of data points that represents the vehicle speed versus time. Transient driving cycles involve many changes such as frequent speed changes during typical on-road driving condition [2]. Model driving cycles involve protracted periods at constant speeds. The Batu Pahat Driving Cycle (BPDC) developed to represent the driving pattern of people in a district of Batu Pahat. Based on this driving cycle, it will be a reference to other researchers to study about the gases emission release and fuel consumption by the vehicle on the dynamometer or automotive simulation based on this driving cycle. Existing driving cycles used such as the New European Driving Cycle (NEDC), the Federal Test Procedure (FTP-72/75, and Japan 10-15 Mode Cycle is not appropriate for Batu Pahat district because of different road conditions, driving habits and environmental of developed driving cycle countries are not same [2][14]. Batu Pahat drive cycle was developed for low-capacity gasoline engine under 150 cc and operating on urban roads, rural roads and road around Universiti Tun Hussein Onn. The importance of these driving cycle as the reference for other research to measure and do automotive simulation regarding fuel consumption and gas emission release from the motorcycle for these three type of driving cycle area. Another use for driving cycles is in vehicle simulations [3]. More specifically, they are used in propulsion system simulations to predict the performance of internal combustion engines, transmissions, electric drive systems, batteries, fuel cell systems, and similar components [18]. Data collection methods used in this study is the use of Global Positioning System (GPS). The results obtained are not similar to each other due to differences in congestion on data taken. From the driving cycle graph obtained, such as the average velocity, maximum velocity, the duration and Positive Acceleration Kinetic Energy (PKE) can be determined. In addition, the best driving cycle sample can be determined from the sum of error calculated. The least sum of error means the best driving cycle</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1757-899X/226/1/012004</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Acceleration Automotive engines Automotive fuels Data collection Data points Driving conditions Electric drives Emission analysis Fuel cells Fuel consumption Gasoline engines Global positioning systems GPS Internal combustion engines Kinetic energy Motorcycles Propulsion system performance Roads & highways Rural roads Simulation Traffic speed Velocity |
| title | Batu Pahat Driving Cycle for Light Duty Gasoline Engine |
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