Design, Implementation, and Deployment of Modular Battery Management System for IIoT-based Applications
This paper proposes design and implementation of a battery management system (BMS) for the industrial internet of things (IIoT) enabled applications. The hardware and software development of this BMS is briefly presented in this paper. In terms of hardware development, the presented BMS have modular...
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| Veröffentlicht in: | IEEE access 2022, Vol.10, p.1-1 |
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| description | This paper proposes design and implementation of a battery management system (BMS) for the industrial internet of things (IIoT) enabled applications. The hardware and software development of this BMS is briefly presented in this paper. In terms of hardware development, the presented BMS have modular topology and has 1) high fault tolerance and 2) has exceptionally flexible deployment owing to its topology having multiple local management units (LMUs) connected to a central management unit (CMU). This hardware design approach aims to address the overall design efficiency and cost trade-off of BMS deployment. The hardware design efficiency is tested using actual deployment. In terms of fault tolerance using 1 - 3 LMUs at fault, the voltage monitoring accuracy is maintained for each LMUs. An average of 0.00017 V, 0.0008 V and 0.001 V voltage difference is yielded for 1, 2, and 3 modules at fault respectively. Additionally, core BMS sub-circuit is tested to verify hardware design efficiency such as the DC-to-DC converter which yielded 92.74%. Furthermore, the CMU is integrated with a wireless communication circuit that enables IIoT-based applications such as the emerging edge-based, and a plethora of intelligent deployment. In terms of software, the presented BMS aims to realize state-of-the-art processing through IIoT based approach. For software testing and verification, the BMS is deployed to an unmanned ground vehicle (UGV). The signal stability is tested for UGV based application at a 3500s deployment time whereas an average of 0.0010V voltage difference is yielded. This is verified using time markers which is further analyzed using software-based signal processing and acquisition simulation. Concisely, the proposed BMS aims to converge IIoT applications to its actual deployment. The proposed BMS is designed, implemented, and successfully deployed to test its viability both in the simulation platform and actual deployment. |
| doi_str_mv | 10.1109/ACCESS.2022.3214177 |
| format | Article |
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The hardware and software development of this BMS is briefly presented in this paper. In terms of hardware development, the presented BMS have modular topology and has 1) high fault tolerance and 2) has exceptionally flexible deployment owing to its topology having multiple local management units (LMUs) connected to a central management unit (CMU). This hardware design approach aims to address the overall design efficiency and cost trade-off of BMS deployment. The hardware design efficiency is tested using actual deployment. In terms of fault tolerance using 1 - 3 LMUs at fault, the voltage monitoring accuracy is maintained for each LMUs. An average of 0.00017 V, 0.0008 V and 0.001 V voltage difference is yielded for 1, 2, and 3 modules at fault respectively. Additionally, core BMS sub-circuit is tested to verify hardware design efficiency such as the DC-to-DC converter which yielded 92.74%. Furthermore, the CMU is integrated with a wireless communication circuit that enables IIoT-based applications such as the emerging edge-based, and a plethora of intelligent deployment. In terms of software, the presented BMS aims to realize state-of-the-art processing through IIoT based approach. For software testing and verification, the BMS is deployed to an unmanned ground vehicle (UGV). The signal stability is tested for UGV based application at a 3500s deployment time whereas an average of 0.0010V voltage difference is yielded. This is verified using time markers which is further analyzed using software-based signal processing and acquisition simulation. Concisely, the proposed BMS aims to converge IIoT applications to its actual deployment. 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(IEEE) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c338t-4348bfee65d1db88c3846b31efae01b833118a89b86f458de69870c7ba5b314a3</citedby><cites>FETCH-LOGICAL-c338t-4348bfee65d1db88c3846b31efae01b833118a89b86f458de69870c7ba5b314a3</cites><orcidid>0000-0002-0279-935X ; 0000-0003-2533-3496 ; 0000-0002-9774-5118</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9916214$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,2096,4010,27610,27900,27901,27902,54908</link.rule.ids></links><search><creatorcontrib>Canilang, Henar Mike O.</creatorcontrib><creatorcontrib>Caliwag, Angela C.</creatorcontrib><creatorcontrib>Lim, Wansu</creatorcontrib><title>Design, Implementation, and Deployment of Modular Battery Management System for IIoT-based Applications</title><title>IEEE access</title><addtitle>Access</addtitle><description>This paper proposes design and implementation of a battery management system (BMS) for the industrial internet of things (IIoT) enabled applications. The hardware and software development of this BMS is briefly presented in this paper. In terms of hardware development, the presented BMS have modular topology and has 1) high fault tolerance and 2) has exceptionally flexible deployment owing to its topology having multiple local management units (LMUs) connected to a central management unit (CMU). This hardware design approach aims to address the overall design efficiency and cost trade-off of BMS deployment. The hardware design efficiency is tested using actual deployment. In terms of fault tolerance using 1 - 3 LMUs at fault, the voltage monitoring accuracy is maintained for each LMUs. An average of 0.00017 V, 0.0008 V and 0.001 V voltage difference is yielded for 1, 2, and 3 modules at fault respectively. Additionally, core BMS sub-circuit is tested to verify hardware design efficiency such as the DC-to-DC converter which yielded 92.74%. Furthermore, the CMU is integrated with a wireless communication circuit that enables IIoT-based applications such as the emerging edge-based, and a plethora of intelligent deployment. In terms of software, the presented BMS aims to realize state-of-the-art processing through IIoT based approach. For software testing and verification, the BMS is deployed to an unmanned ground vehicle (UGV). The signal stability is tested for UGV based application at a 3500s deployment time whereas an average of 0.0010V voltage difference is yielded. This is verified using time markers which is further analyzed using software-based signal processing and acquisition simulation. Concisely, the proposed BMS aims to converge IIoT applications to its actual deployment. The proposed BMS is designed, implemented, and successfully deployed to test its viability both in the simulation platform and actual deployment.</description><subject>Applications programs</subject><subject>Batteries</subject><subject>Battery management system</subject><subject>Circuit design</subject><subject>edge processing</subject><subject>Efficiency</subject><subject>Electric potential</subject><subject>Fault tolerance</subject><subject>Fault tolerant systems</subject><subject>Hardware</subject><subject>Industrial applications</subject><subject>industrial IoT</subject><subject>Internet of Things</subject><subject>lithium-ion</subject><subject>modular architecture</subject><subject>Modular systems</subject><subject>Signal processing</subject><subject>Software</subject><subject>Software algorithms</subject><subject>Software development</subject><subject>Software testing</subject><subject>Topology</subject><subject>Unmanned ground vehicles</subject><subject>Voltage</subject><subject>Voltage converters (DC to DC)</subject><subject>Wireless communications</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUctu2zAQFIoGaJDkC3whkGvk8CU-jq7zqIAEOTg5E6S4MmTIokrKB_99aSswupfdHczMLjBFsSB4SQjWj6v1-nmzWVJM6ZJRwomUP4prSoQuWcXEz__mX8VdSjucS2WoktfF9glStx0eUL0fe9jDMNmpC3m3g0dPMPbheAJRaNF78IfeRvTbThPEI3q3g92eJWhzTBPsURsiquvwWTqbwKPVOPZdc_ZLt8VVa_sEd9_9pvh6ef5c_ynfPl7r9eqtbBhTU8kZV64FEJUn3inVMMWFYwRaC5g4xRghyirtlGh5pTwIrSRupLNVZnHLbop69vXB7swYu72NRxNsZ85AiFtj49Q1PRhuhZOsEiBUyzUVTnkMFdeykZh6DdnrfvYaY_h7gDSZXTjEIb9vqKSCEJmvZxabWU0MKUVoL1cJNqeAzByQOQVkvgPKqsWs6gDgotCaiExg_wD_tYu2</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Canilang, Henar Mike O.</creator><creator>Caliwag, Angela C.</creator><creator>Lim, Wansu</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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The hardware and software development of this BMS is briefly presented in this paper. In terms of hardware development, the presented BMS have modular topology and has 1) high fault tolerance and 2) has exceptionally flexible deployment owing to its topology having multiple local management units (LMUs) connected to a central management unit (CMU). This hardware design approach aims to address the overall design efficiency and cost trade-off of BMS deployment. The hardware design efficiency is tested using actual deployment. In terms of fault tolerance using 1 - 3 LMUs at fault, the voltage monitoring accuracy is maintained for each LMUs. An average of 0.00017 V, 0.0008 V and 0.001 V voltage difference is yielded for 1, 2, and 3 modules at fault respectively. Additionally, core BMS sub-circuit is tested to verify hardware design efficiency such as the DC-to-DC converter which yielded 92.74%. Furthermore, the CMU is integrated with a wireless communication circuit that enables IIoT-based applications such as the emerging edge-based, and a plethora of intelligent deployment. In terms of software, the presented BMS aims to realize state-of-the-art processing through IIoT based approach. For software testing and verification, the BMS is deployed to an unmanned ground vehicle (UGV). The signal stability is tested for UGV based application at a 3500s deployment time whereas an average of 0.0010V voltage difference is yielded. This is verified using time markers which is further analyzed using software-based signal processing and acquisition simulation. Concisely, the proposed BMS aims to converge IIoT applications to its actual deployment. The proposed BMS is designed, implemented, and successfully deployed to test its viability both in the simulation platform and actual deployment.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2022.3214177</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-0279-935X</orcidid><orcidid>https://orcid.org/0000-0003-2533-3496</orcidid><orcidid>https://orcid.org/0000-0002-9774-5118</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Applications programs Batteries Battery management system Circuit design edge processing Efficiency Electric potential Fault tolerance Fault tolerant systems Hardware Industrial applications industrial IoT Internet of Things lithium-ion modular architecture Modular systems Signal processing Software Software algorithms Software development Software testing Topology Unmanned ground vehicles Voltage Voltage converters (DC to DC) Wireless communications |
| title | Design, Implementation, and Deployment of Modular Battery Management System for IIoT-based Applications |
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