BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20231130T170858Z UID:AE36170A-2A31-4223-AA10-EC2D6E11B12D DTSTART;TZID=America/New_York:20230414T093000 DTEND;TZID=America/New_York:20230414T133000 DESCRIPTION:Enhancing the life of Lithium-ion (Li-ion) battery packs has be en the topic of much interest. In this framework\, the role of on-board ce ll voltage balancing of Li-ion batteries will be highlighted in this talk. This is a very important topic in the context of battery energy storage c ost and life/state-of-charge/state-of-health (SOC/SOH) monitoring. This ta lk will also introduce a first-of-its-kind closed-loop cell charge (voltag e) balancing and extreme fast charging technique. The technique uses insta ntaneous cell voltage and/or temperature rise (ΔT) as a control parameter . Existing charging techniques for Li-ion batteries use a largely open-loo p approach\, where the charge profile is pre-decided\, based on apriori kn owledge of cell parameters. There is a need for closed-loop charging techn iques that use instantaneous cell voltage and/or temperature to modulate t he charging current magnitude. This talk addresses this gap by proposing f or the first time ever a constant-temperature constant-voltage (CT-CV) cha rging technique\, considering cell temperature as a key degradation metric . Furthermore\, continuous monitoring of SOC/SOH of a Li-ion battery is es sential to avoid over-charging\, over-discharging\, and ensure smart batte ry management. It also ensures overall safe operation\, increase in calend ar life\, and reduction of average life-cycle cost. However\, accurate SOC /SOH estimation has become a major challenge\, since these studies need la rge amounts of experimental data\, and adopt standard charge/discharge pat terns that do not reflect real world driving loads. In this talk\, advance d machine learning (ML) techniques will be introduced to estimate battery SOC/SOH based on measured critical battery parameters. The effectiveness o f the proposed ML techniques are verified using experimental data of the L i-ion battery operating under varied driving schedules and temperatures. E xperimental test results show that the proposed ML approaches outperform o ther conventional approaches with much greater accuracy.\n\nThis presentat ion will also highlight the current status and future opportunities within Ontario Tech University’s research program on transportation electrific ation and electric energy storage systems. The above-mentioned research in itiatives will be described in the presentation and industry-specific proj ects within the STEER group will be highlighted. The NSERC Canada Research Chair (CRC) program includes several novel initiatives in the areas of tr ansportation electrification and is built upon the expertise and knowledge of the STEER group in a number of promising interdisciplinary areas relat ed to power electronics and motor drives.\n\nSpeaker(s): Prof. Sheldon Wil liamson\, \n\nRoom: E-2024\, Bldg: E\, 1100\, Notre-dame ouest\, Ecole de Technologie Superieure\, Montreal\, Quebec\, Canada\, H3C 1K3\, Virtual: h ttps://events.vtools.ieee.org/m/356310 LOCATION:Room: E-2024\, Bldg: E\, 1100\, Notre-dame ouest\, Ecole de Techno logie Superieure\, Montreal\, Quebec\, Canada\, H3C 1K3\, Virtual: https:/ /events.vtools.ieee.org/m/356310 ORGANIZER:kamal.al-haddad@etsmtl.ca SEQUENCE:4 SUMMARY:Smart Health-Conscious Battery Management Systems for Transportatio n Electrification and Autonomous E-mobility URL;VALUE=URI:https://events.vtools.ieee.org/m/356310 X-ALT-DESC:Description: <br /><p>Enhancing the life of Lithium-ion (Li-ion) battery packs has been the topic of much interest. In this framework\, th e role of on-board cell voltage balancing of Li-ion batteries will be high lighted in this talk. This is a very important topic in the context of bat tery energy storage cost and life/state-of-charge/state-of-health (SOC/SOH ) monitoring. This talk will also introduce a first-of-its-kind closed-loo p cell charge (voltage) balancing and extreme fast charging technique. The technique uses instantaneous cell voltage and/or temperature rise (&Delta \;T) as a control parameter. Existing charging techniques for Li-ion batte ries use a largely open-loop approach\, where the charge profile is pre-de cided\, based on apriori knowledge of cell parameters. There is a need for closed-loop charging techniques that use instantaneous cell voltage and/o r temperature to modulate the charging current magnitude. This talk addres ses this gap by proposing for the first time ever a constant-temperature c onstant-voltage (CT-CV) charging technique\, considering cell temperature as a key degradation metric. Furthermore\, continuous monitoring of SOC/SO H of a Li-ion battery is essential to avoid over-charging\, over-dischargi ng\, and ensure smart battery management. It also ensures overall safe ope ration\, increase in calendar life\, and reduction of average life-cycle c ost. However\, accurate SOC/SOH estimation has become a major challenge\, since these studies need large amounts of experimental data\, and adopt st andard charge/discharge patterns that do not reflect real world driving lo ads. In this talk\, advanced machine learning (ML) techniques will be intr oduced to estimate battery SOC/SOH based on measured critical battery para meters. The effectiveness of the proposed ML techniques are verified using experimental data of the Li-ion battery operating under varied driving sc hedules and temperatures. Experimental test results show that the proposed ML approaches outperform other conventional approaches with much greater accuracy.</p>\n<p>This presentation will also highlight the current status and future opportunities within Ontario Tech University&rsquo\;s research program on transportation electrification and electric energy storage sys tems. The above-mentioned research initiatives will be described in the pr esentation and industry-specific projects within the STEER group will be h ighlighted. The NSERC Canada Research Chair (CRC) program includes several novel initiatives in the areas of transportation electrification and is b uilt upon the expertise and knowledge of the STEER group in a number of pr omising interdisciplinary areas related to power electronics and motor dri ves.</p> END:VEVENT END:VCALENDAR