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Abstract: <\/p>\n This paper introduces a structured approach to the multi-objective optimization of electrical machines. The process covers the key steps: defining the problem, identifying the most relevant key performance indicators and constraints, setting the design space, formulating objective functions, and then modeling and evaluating the results. Using a permanent magnet synchronous machine as an example, the study shows that it is possible to achieve up to 9% higher output power or reduce the overall cost by as much as 18% compared with the reference design. These results highlight the value of the proposed method and provide a solid basis for choosing the most suitable design for a given application.<\/p>\n <\/p>\n Keywords: <\/p>\n Copyright (c) 2025 Mitja Garmut, Martin Petrun <\/p>\n This work is licensed under a <\/p>\n Except where otherwise noted, articles in [\/et_pb_text][et_pb_button button_url=”https:\/\/revija-ventil.si\/wp-content\/uploads\/garmut-10-2025.pdf” url_new_window=”on” button_text=”Download PDF” admin_label=”Gumb Prenesi PDF” _builder_version=”4.27.4″ custom_button=”on” button_text_size=”15px” button_text_color=”#00868a” button_bg_color=”rgba(0,0,0,0)” button_border_color=”#00868a” button_icon=”||divi||400″ custom_margin=”||0px||false|false” custom_margin_tablet=”||20px||false|false” custom_margin_phone=”” custom_margin_last_edited=”on|desktop” custom_padding=”||||false|false” hover_enabled=”0″ locked=”off” global_colors_info=”{}” button_border_color__hover_enabled=”on|hover” button_border_color__hover=”#00868a” theme_builder_area=”post_content” sticky_enabled=”0″][\/et_pb_button][et_pb_post_nav in_same_term=”on” prev_text=”Older entries” next_text=”Newer entries” admin_label=”Navigacija po objavah” _builder_version=”4.3.3″ custom_margin=”||||false|false” custom_margin_phone=”||||false|false” custom_margin_last_edited=”off|desktop” custom_padding=”20px||||false|false” custom_padding_tablet=”0px||0px||false|false” custom_padding_phone=”0px||0px||false|false” custom_padding_last_edited=”on|tablet” title_text_color_last_edited=”off|desktop” global_module=”11763″ locked=”off” global_colors_info=”{}” title_text_color__hover_enabled=”on|desktop” title_text_color__hover=”#212b31″ theme_builder_area=”post_content”][\/et_pb_post_nav][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.27.4″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||” theme_builder_area=”post_content”][et_pb_sidebar orientation=”right” area=”et_pb_widget_area_4″ disabled_on=”on|on|off” _builder_version=”4.27.4″ global_module=”11764″ global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_sidebar][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" This paper introduces a structured approach to the multi-objective optimization of electrical machines. The process covers the key steps: defining the problem, identifying the most relevant key performance indicators and constraints, setting the design space, formulating objective functions, and then modeling and evaluating the results.<\/p>\n","protected":false},"author":5,"featured_media":16429,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[153,154],"tags":[],"class_list":["post-16462","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-exposed-articles","category-science-and-expert-articles"],"_links":{"self":[{"href":"https:\/\/revija-ventil.si\/en\/wp-json\/wp\/v2\/posts\/16462","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/revija-ventil.si\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/revija-ventil.si\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/revija-ventil.si\/en\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/revija-ventil.si\/en\/wp-json\/wp\/v2\/comments?post=16462"}],"version-history":[{"count":2,"href":"https:\/\/revija-ventil.si\/en\/wp-json\/wp\/v2\/posts\/16462\/revisions"}],"predecessor-version":[{"id":16464,"href":"https:\/\/revija-ventil.si\/en\/wp-json\/wp\/v2\/posts\/16462\/revisions\/16464"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/revija-ventil.si\/en\/wp-json\/wp\/v2\/media\/16429"}],"wp:attachment":[{"href":"https:\/\/revija-ventil.si\/en\/wp-json\/wp\/v2\/media?parent=16462"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/revija-ventil.si\/en\/wp-json\/wp\/v2\/categories?post=16462"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/revija-ventil.si\/en\/wp-json\/wp\/v2\/tags?post=16462"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
<\/strong><\/p>\n
<\/strong>electrical machine, key performance indicators (KPIs), multi-objective optimization, Pareto front<\/p>\n
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