<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Journal of Iranian Association of Electrical and Electronics Engineers</title>
<title_fa>نشریه مهندسی برق و الکترونیک ایران</title_fa>
<short_title>Journal of Iranian Association of Electrical and Electronics Engineers</short_title>
<subject>Engineering &amp; Technology</subject>
<web_url>http://jiaeee.com</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn>2676-5810</journal_id_issn>
<journal_id_issn_online>2676-6086</journal_id_issn_online>
<journal_id_pii>8</journal_id_pii>
<journal_id_doi>10.61882/jiaeee</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid>14</journal_id_sid>
<journal_id_nlai>8888</journal_id_nlai>
<journal_id_science>13</journal_id_science>
<language>fa</language>
<pubdate>
	<type>jalali</type>
	<year>1386</year>
	<month>7</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2007</year>
	<month>10</month>
	<day>1</day>
</pubdate>
<volume>4</volume>
<number>2</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa>An Intelligent Control Strategy in a Parallel Hybrid Vehicle</title_fa>
	<title>An Intelligent Control Strategy in a Parallel Hybrid Vehicle</title>
	<subject_fa>کنترل</subject_fa>
	<subject>Control</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research</content_type>
	<abstract_fa>&lt;p class=&quot;Abstract&quot; style=&quot;text-align:justify;text-justify:kashida;text-kashida:
0%&quot;&gt;This paper presents a design procedure for an adaptive power management control strategy based on a driving cycle recognition algorithm. The design goal of the control strategy is to minimize fuel consumption and engine-out NOx, HC and CO emissions on a set of diversified driving schedules. Seven facility-specific drive cycles are considered to represent different driving scenarios. For each facility-specific drive cycle, the fuel economy and emission are optimized and obtained proper split between the two energy sources (engine and electric motor). A driving pattern recognition algorithm is subsequently developed and used to classify the current driving cycle into one of the facility-specific drive cycles; thus, the most appropriate control algorithm is adaptively selected. This control scheme was tested on a typical driving cycle and was found to operate satisfactorily.&lt;!--stripped--&gt;&lt;!--stripped--&gt;&lt;/p&gt;
</abstract_fa>
	<abstract>&lt;p class=&quot;Abstract&quot; style=&quot;text-align:justify;text-justify:kashida;text-kashida:
0%&quot;&gt;This paper presents a design procedure for an adaptive power management control strategy based on a driving cycle recognition algorithm. The design goal of the control strategy is to minimize fuel consumption and engine-out NOx, HC and CO emissions on a set of diversified driving schedules. Seven facility-specific drive cycles are considered to represent different driving scenarios. For each facility-specific drive cycle, the fuel economy and emission are optimized and obtained proper split between the two energy sources (engine and electric motor). A driving pattern recognition algorithm is subsequently developed and used to classify the current driving cycle into one of the facility-specific drive cycles; thus, the most appropriate control algorithm is adaptively selected. This control scheme was tested on a typical driving cycle and was found to operate satisfactorily.&lt;!--stripped--&gt;&lt;!--stripped--&gt;&lt;/p&gt;
</abstract>
	<keyword_fa>Hybrid vehicle, torque distribution, fuzzy rule base, neural network, drive cycle.</keyword_fa>
	<keyword>Hybrid vehicle, torque distribution, fuzzy rule base, neural network, drive cycle.</keyword>
	<start_page>43</start_page>
	<end_page>51</end_page>
	<web_url>http://jiaeee.com/browse.php?a_code=A-10-1-193&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Arezoo </first_name>
	<middle_name></middle_name>
	<last_name>D. Abdollahi</last_name>
	<suffix></suffix>
	<first_name_fa>Arezoo </first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa>D. Abdollahi</last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>1003194753284600688</code>
	<orcid>1003194753284600688</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name> S.K.</first_name>
	<middle_name></middle_name>
	<last_name>Nikravesh</last_name>
	<suffix></suffix>
	<first_name_fa> S.K.</first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa>Nikravesh</last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>1003194753284600689</code>
	<orcid>1003194753284600689</orcid>
	<coreauthor>No</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>M.B</first_name>
	<middle_name></middle_name>
	<last_name>.Menhaj</last_name>
	<suffix></suffix>
	<first_name_fa>M.B</first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa>.Menhaj</last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>1003194753284600690</code>
	<orcid>1003194753284600690</orcid>
	<coreauthor>No</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
