Implementation of Constant Temperature–Constant Voltage Charging Method with Energy Loss Minimization for Lithium-Ion Batteries
Effective charging techniques must consider factors such as charging efficiency, lifecycle, charging time (CT), and battery temperature. Currently, most charging strategies primarily focus on CT and charging losses (CL), overlooking the crucial influence of battery temperature on battery life. There...
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Veröffentlicht in: | Electronics (Basel) 2024-02, Vol.13 (3), p.645 |
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description | Effective charging techniques must consider factors such as charging efficiency, lifecycle, charging time (CT), and battery temperature. Currently, most charging strategies primarily focus on CT and charging losses (CL), overlooking the crucial influence of battery temperature on battery life. Therefore, this study proposes a constant temperature–constant voltage (CT-CV) charging method based on minimizing energy losses. The charging process is primarily divided into three stages. In the first stage, a constant current (CC) charging is implemented using a 2C rate that aims to expedite battery charging but may result in a rapid temperature increase. The second stage involves constant temperature charging, where the charging current is regulated based on battery temperature feedback using a PID controller to maintain a stable battery temperature. The third stage is constant voltage (CV) charging, where a fixed current is applied continuously until the current drops below the charging cutoff current. After completion of the charging process, the charging time can be calculated, and charging losses can be determined by incorporating the battery equivalent circuit model (ECM). To determine the optimal transition time, the paper employs Coulomb counting and the battery ECM, considering both CT and losses to simulate the transition time with minimal CL. This approach achieves optimization of transition points by establishing ECM, measuring internal impedance of the battery, and simulating various charging scenarios, and eliminates the need for multiple actual experiments. Experimental results show that the charging time (CT) should be reduced and the maximum temperature rise (TR) should be reduced under the same average TR condition of the proposed method. At the same CT, the average TR and the maximum TR should both decrease. The charging method proposed in this study exhibits the following advantages: (1) simultaneous consideration of the battery’s equivalent circuit model and charging time; (2) the achieved transition point demonstrates characteristics of minimized charging losses; (3) eliminates the need for multiple experimental iterations. |
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Currently, most charging strategies primarily focus on CT and charging losses (CL), overlooking the crucial influence of battery temperature on battery life. Therefore, this study proposes a constant temperature–constant voltage (CT-CV) charging method based on minimizing energy losses. The charging process is primarily divided into three stages. In the first stage, a constant current (CC) charging is implemented using a 2C rate that aims to expedite battery charging but may result in a rapid temperature increase. The second stage involves constant temperature charging, where the charging current is regulated based on battery temperature feedback using a PID controller to maintain a stable battery temperature. The third stage is constant voltage (CV) charging, where a fixed current is applied continuously until the current drops below the charging cutoff current. After completion of the charging process, the charging time can be calculated, and charging losses can be determined by incorporating the battery equivalent circuit model (ECM). To determine the optimal transition time, the paper employs Coulomb counting and the battery ECM, considering both CT and losses to simulate the transition time with minimal CL. This approach achieves optimization of transition points by establishing ECM, measuring internal impedance of the battery, and simulating various charging scenarios, and eliminates the need for multiple actual experiments. Experimental results show that the charging time (CT) should be reduced and the maximum temperature rise (TR) should be reduced under the same average TR condition of the proposed method. At the same CT, the average TR and the maximum TR should both decrease. The charging method proposed in this study exhibits the following advantages: (1) simultaneous consideration of the battery’s equivalent circuit model and charging time; (2) the achieved transition point demonstrates characteristics of minimized charging losses; (3) eliminates the need for multiple experimental iterations.</description><identifier>ISSN: 2079-9292</identifier><identifier>EISSN: 2079-9292</identifier><identifier>DOI: 10.3390/electronics13030645</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Algorithms ; Analysis ; Battery chargers ; Charging ; Design and construction ; Efficiency ; Electric potential ; Energy ; Energy consumption ; Equivalent circuits ; Linear programming ; Lithium ; Lithium cells ; Lithium-ion batteries ; Optimization ; Optimization algorithms ; Proportional integral derivative ; Rechargeable batteries ; Service life (Engineering) ; Temperature ; Transition points ; Voltage</subject><ispartof>Electronics (Basel), 2024-02, Vol.13 (3), p.645</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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Currently, most charging strategies primarily focus on CT and charging losses (CL), overlooking the crucial influence of battery temperature on battery life. Therefore, this study proposes a constant temperature–constant voltage (CT-CV) charging method based on minimizing energy losses. The charging process is primarily divided into three stages. In the first stage, a constant current (CC) charging is implemented using a 2C rate that aims to expedite battery charging but may result in a rapid temperature increase. The second stage involves constant temperature charging, where the charging current is regulated based on battery temperature feedback using a PID controller to maintain a stable battery temperature. The third stage is constant voltage (CV) charging, where a fixed current is applied continuously until the current drops below the charging cutoff current. After completion of the charging process, the charging time can be calculated, and charging losses can be determined by incorporating the battery equivalent circuit model (ECM). To determine the optimal transition time, the paper employs Coulomb counting and the battery ECM, considering both CT and losses to simulate the transition time with minimal CL. This approach achieves optimization of transition points by establishing ECM, measuring internal impedance of the battery, and simulating various charging scenarios, and eliminates the need for multiple actual experiments. Experimental results show that the charging time (CT) should be reduced and the maximum temperature rise (TR) should be reduced under the same average TR condition of the proposed method. At the same CT, the average TR and the maximum TR should both decrease. The charging method proposed in this study exhibits the following advantages: (1) simultaneous consideration of the battery’s equivalent circuit model and charging time; (2) the achieved transition point demonstrates characteristics of minimized charging losses; (3) eliminates the need for multiple experimental iterations.</description><subject>Algorithms</subject><subject>Analysis</subject><subject>Battery chargers</subject><subject>Charging</subject><subject>Design and construction</subject><subject>Efficiency</subject><subject>Electric potential</subject><subject>Energy</subject><subject>Energy consumption</subject><subject>Equivalent circuits</subject><subject>Linear programming</subject><subject>Lithium</subject><subject>Lithium cells</subject><subject>Lithium-ion batteries</subject><subject>Optimization</subject><subject>Optimization algorithms</subject><subject>Proportional integral derivative</subject><subject>Rechargeable batteries</subject><subject>Service life (Engineering)</subject><subject>Temperature</subject><subject>Transition points</subject><subject>Voltage</subject><issn>2079-9292</issn><issn>2079-9292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptUb1OwzAQthBIVKVPwGKJOcWJnTQeS1WgUiuWwho5zjl1ldjFdoXKBM_AG_IkGBUhBu6Gu_v03T9ClykZU8rJNXQgg7NGS59SQknB8hM0yMiEJzzj2ekf_xyNvN-SKDylJSUD9L7odx30YIII2hpsFZ5Z44MwAa-h34ETYe_g8-3jF36yXRAt4NlGuFabFq8gbGyDX3TY4LkB1x7w0nqPV9roXr8eCyvr8DIy9L5PFjG-ESGA0-Av0JkSnYfRjx2ix9v5enafLB_uFrPpMpG0SENS85I2TBaZYHlZMgqE17IsJG-i0LyolWI5E5SwmkqViTqvBVcpbQiTgkdwiK6OdXfOPu_Bh2pr987EllW8TDxkzgoWWeMjqxUdVNooG5yQURvotbQGlI74dFJmpOR5nGmI6DFBurizA1XtnO6FO1Qpqb7_U_3zH_oF0jqKUg</recordid><startdate>20240201</startdate><enddate>20240201</enddate><creator>Chen, Guan-Jhu</creator><creator>Liu, Chun-Liang</creator><creator>Liu, Yi-Hua</creator><creator>Wang, Jhih-Jhong</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0001-7593-0155</orcidid><orcidid>https://orcid.org/0000-0003-0558-9734</orcidid></search><sort><creationdate>20240201</creationdate><title>Implementation of Constant Temperature–Constant Voltage Charging Method with Energy Loss Minimization for Lithium-Ion Batteries</title><author>Chen, Guan-Jhu ; Liu, Chun-Liang ; Liu, Yi-Hua ; Wang, Jhih-Jhong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-b983d4c62a458843e09bc86c9dddd356bff454a304b3cf2ab5ba9f13d04ca94b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Analysis</topic><topic>Battery chargers</topic><topic>Charging</topic><topic>Design and construction</topic><topic>Efficiency</topic><topic>Electric potential</topic><topic>Energy</topic><topic>Energy consumption</topic><topic>Equivalent circuits</topic><topic>Linear programming</topic><topic>Lithium</topic><topic>Lithium cells</topic><topic>Lithium-ion batteries</topic><topic>Optimization</topic><topic>Optimization algorithms</topic><topic>Proportional integral derivative</topic><topic>Rechargeable batteries</topic><topic>Service life (Engineering)</topic><topic>Temperature</topic><topic>Transition points</topic><topic>Voltage</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Guan-Jhu</creatorcontrib><creatorcontrib>Liu, Chun-Liang</creatorcontrib><creatorcontrib>Liu, Yi-Hua</creatorcontrib><creatorcontrib>Wang, Jhih-Jhong</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace 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><jtitle>Electronics (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Guan-Jhu</au><au>Liu, Chun-Liang</au><au>Liu, Yi-Hua</au><au>Wang, Jhih-Jhong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Implementation of Constant Temperature–Constant Voltage Charging Method with Energy Loss Minimization for Lithium-Ion Batteries</atitle><jtitle>Electronics (Basel)</jtitle><date>2024-02-01</date><risdate>2024</risdate><volume>13</volume><issue>3</issue><spage>645</spage><pages>645-</pages><issn>2079-9292</issn><eissn>2079-9292</eissn><abstract>Effective charging techniques must consider factors such as charging efficiency, lifecycle, charging time (CT), and battery temperature. Currently, most charging strategies primarily focus on CT and charging losses (CL), overlooking the crucial influence of battery temperature on battery life. Therefore, this study proposes a constant temperature–constant voltage (CT-CV) charging method based on minimizing energy losses. The charging process is primarily divided into three stages. In the first stage, a constant current (CC) charging is implemented using a 2C rate that aims to expedite battery charging but may result in a rapid temperature increase. The second stage involves constant temperature charging, where the charging current is regulated based on battery temperature feedback using a PID controller to maintain a stable battery temperature. The third stage is constant voltage (CV) charging, where a fixed current is applied continuously until the current drops below the charging cutoff current. After completion of the charging process, the charging time can be calculated, and charging losses can be determined by incorporating the battery equivalent circuit model (ECM). To determine the optimal transition time, the paper employs Coulomb counting and the battery ECM, considering both CT and losses to simulate the transition time with minimal CL. This approach achieves optimization of transition points by establishing ECM, measuring internal impedance of the battery, and simulating various charging scenarios, and eliminates the need for multiple actual experiments. Experimental results show that the charging time (CT) should be reduced and the maximum temperature rise (TR) should be reduced under the same average TR condition of the proposed method. At the same CT, the average TR and the maximum TR should both decrease. The charging method proposed in this study exhibits the following advantages: (1) simultaneous consideration of the battery’s equivalent circuit model and charging time; (2) the achieved transition point demonstrates characteristics of minimized charging losses; (3) eliminates the need for multiple experimental iterations.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/electronics13030645</doi><orcidid>https://orcid.org/0000-0001-7593-0155</orcidid><orcidid>https://orcid.org/0000-0003-0558-9734</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Analysis Battery chargers Charging Design and construction Efficiency Electric potential Energy Energy consumption Equivalent circuits Linear programming Lithium Lithium cells Lithium-ion batteries Optimization Optimization algorithms Proportional integral derivative Rechargeable batteries Service life (Engineering) Temperature Transition points Voltage |
title | Implementation of Constant Temperature–Constant Voltage Charging Method with Energy Loss Minimization for Lithium-Ion Batteries |
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