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dc.contributor.authorDung, Lan-Rongen_US
dc.contributor.authorLi, Hao-Pinen_US
dc.date.accessioned2018-08-21T05:56:28Z-
dc.date.available2018-08-21T05:56:28Z-
dc.date.issued2018-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/146232-
dc.description.abstractA supplementary compensator for Texas Instruments gauge IC state-of-charge estimation for lithium-ion batteries is proposed and a hardware platform is designed to verify the proposed compensation. A sudden change in TI gauge SOC estimation sometimes happens near the end section of the battery discharge curves. The reason is that there are non-modification regions posed by the gauge due to larger parameter variation caused larger SOC estimation errors. By designing the OCV extraction hardware and find that the difference of slopes has a big drop when approaching to 50% SOC and the value can be identified. The slope of 50% SOC is a fixed value which can be applied to SOC compensation. By analyzing the discharging curves for many vendors' lithium-ion batteries, we find that there are two conditions can be applied to compensate the SOC estimation. One is the specific difference of voltage slopes during discharging and the other is a specific discharging slope when SOC equals 50%. These check points can provide nearly consistent estimation of SOC for batteries with different cycle times and different ambient temperatures. An add-on platform is designed with the embedded voltage-gradient checkpoint and EMF table and the experimental results show that the SOC estimation accuracy is improved. The accuracy of SOC estimation with the help of the proposed compensation is increasing up to 11% under different variant current profiles.en_US
dc.language.isoen_USen_US
dc.subjectlithium batteryen_US
dc.subjectbattery management systemen_US
dc.subjectbattery gaugeen_US
dc.subjectSOCen_US
dc.titleA Voltage-Gradient Based Gas Gauge Platform for Lithium-ion Batteriesen_US
dc.typeProceedings Paperen_US
dc.identifier.journalPROCEEDINGS OF 4TH IEEE INTERNATIONAL CONFERENCE ON APPLIED SYSTEM INNOVATION 2018 ( IEEE ICASI 2018 )en_US
dc.citation.spage789en_US
dc.citation.epage792en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000437351700208en_US
Appears in Collections:Conferences Paper