Control strategy optimization method for thermal management system of power battery of hovercar
The invention relates to an aerocar power battery thermal management system control strategy optimization method, belongs to the technical field of aerocar energy power systems, and solves the problems of long-term dependence on battery experiments, long time consumption, high consumption, low effic...
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creator | ZHOU SIDA GAO ZICHAO LI AOJIE CHEN CHANGLONG CHEN FEI YANG SHICHUN |
description | The invention relates to an aerocar power battery thermal management system control strategy optimization method, belongs to the technical field of aerocar energy power systems, and solves the problems of long-term dependence on battery experiments, long time consumption, high consumption, low efficiency, dependence on model simulation, low cost and the like in the prior art. The problems of large modeling difficulty, long model simulation time and low iterative feedback speed in the prior art are solved. According to the method, the reduced-order model of the finite element model of the power battery system is established through limited experimental test working condition data, and the calculation speed is greatly increased under the condition that the precision similar to that of the finite element model is kept, so that the thermal management strategy optimization speed is increased, and the strategy development time demand and cost are effectively reduced; the optimization algorithm of particle swarm opt |
format | Patent |
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The problems of large modeling difficulty, long model simulation time and low iterative feedback speed in the prior art are solved. According to the method, the reduced-order model of the finite element model of the power battery system is established through limited experimental test working condition data, and the calculation speed is greatly increased under the condition that the precision similar to that of the finite element model is kept, so that the thermal management strategy optimization speed is increased, and the strategy development time demand and cost are effectively reduced; the optimization algorithm of particle swarm opt</description><language>chi ; eng</language><subject>BASIC ELECTRIC ELEMENTS ; CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; ELECTRICITY ; PHYSICS ; PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSIONOF CHEMICAL INTO ELECTRICAL ENERGY</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240809&DB=EPODOC&CC=CN&NR=118472499A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240809&DB=EPODOC&CC=CN&NR=118472499A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHOU SIDA</creatorcontrib><creatorcontrib>GAO ZICHAO</creatorcontrib><creatorcontrib>LI AOJIE</creatorcontrib><creatorcontrib>CHEN CHANGLONG</creatorcontrib><creatorcontrib>CHEN FEI</creatorcontrib><creatorcontrib>YANG SHICHUN</creatorcontrib><title>Control strategy optimization method for thermal management system of power battery of hovercar</title><description>The invention relates to an aerocar power battery thermal management system control strategy optimization method, belongs to the technical field of aerocar energy power systems, and solves the problems of long-term dependence on battery experiments, long time consumption, high consumption, low efficiency, dependence on model simulation, low cost and the like in the prior art. The problems of large modeling difficulty, long model simulation time and low iterative feedback speed in the prior art are solved. 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The problems of large modeling difficulty, long model simulation time and low iterative feedback speed in the prior art are solved. According to the method, the reduced-order model of the finite element model of the power battery system is established through limited experimental test working condition data, and the calculation speed is greatly increased under the condition that the precision similar to that of the finite element model is kept, so that the thermal management strategy optimization speed is increased, and the strategy development time demand and cost are effectively reduced; the optimization algorithm of particle swarm opt</abstract><oa>free_for_read</oa></addata></record> |
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subjects | BASIC ELECTRIC ELEMENTS CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY PHYSICS PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSIONOF CHEMICAL INTO ELECTRICAL ENERGY |
title | Control strategy optimization method for thermal management system of power battery of hovercar |
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