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        <identifier>oai:figshare.com:article/26969143</identifier>
        <datestamp>2024-09-17T14:11:39Z</datestamp>
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          <dc:title>Electric vehicle model simulation results for an electric vehicle powered by a battery-supercapacitor hybrid energy storage system</dc:title>
          <dc:creator>Ntokozo Khanyile (19555006)</dc:creator>
          <dc:subject>Electrical energy storage</dc:subject>
          <dc:subject>Hybrid energy storage system (HESS)</dc:subject>
          <dc:subject>Electric vehicles</dc:subject>
          <dc:subject>Energy management system (EMS)</dc:subject>
          <dc:subject>Energy storage systems (ESSs)</dc:subject>
          <dc:subject>Rule base algorithm</dc:subject>
          <dc:subject>Battery-supercapacitor hybrid energy</dc:subject>
          <dc:subject>SDG 9 Industry, innovation and infrastructure</dc:subject>
          <dc:description>&lt;p&gt;The electric vehicle reference model was used to simulate the proposed battery-supercapacitor hybrid energy storage system as well as the battery only energy storage system. The electric vehicle (EV) reference application represents a full electric vehicle model with a motor-generator, battery, direct-drive transmission, and associated powertrain control algorithms. The electric vehicle reference application is used for powertrain matching analysis and component selection, control and diagnostic algorithm design, and hardware-in-the-loop (HIL) testing.&lt;/p&gt;
&lt;p&gt;In the dissertation titled, "Supercapacitor control for electric vehicle powered by hybrid energy storage system", a rule-based energy management system was proposed, and it was modelled in the electric vehicle reference application for a fully active battery-supercapacitor Hybrid Energy Storage System. The battery-only energy storage system was modelled it is results were used as a baseline. Then the proposed battery-supercapacitor hybrid energy storage system was modelled, and the results were compared to the battery only energy storage system.&lt;/p&gt;</dc:description>
          <dc:date>2024-09-17T14:11:39Z</dc:date>
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          <dc:identifier>10.25403/UPresearchdata.26969143.v1</dc:identifier>
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