EPE Association: EPE 2023 - LS4d: Battery managements systems and vehicle traction

EPE 2023 - LS4d: Battery managements systems and vehicle traction
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2023 ECCE Europe - Conference > EPE 2023 - Topic 08: Electric Vehicle Propulsion Systems and their Energy Storage > EPE 2023 - LS4d: Battery managements systems and vehicle traction

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   Power Electronic Solutions to Compensate the Power Pulsation in Single-Phase Grid Connected High-Power Medium Voltage Converters
By Stefan SCHÖNEWOLF, Mark-M. BAKRAN [View]
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Abstract: This work compares different active circuit topologies to compensate the power pulsation of a single-phase grid in high-power medium voltage converters. Using cost functions for semiconductors, capacitors and inductors, the properties of different circuit concepts are studied. An approach is selected and validated on a scaled test bench.

   Sensorless State of Temperature Estimation for Smart Battery based on Electrochemical Impedance
By Yusheng ZHENG, Nicolai André WEINREICH, Abhijit KULKARNI, Yunhong CHE, Hoda SOROURI, Xin SUI, Remus TEODORESCU [View]
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Abstract: Temperature plays a significant role in the safety, performance, and lifetime of lithium-ion batteries (LIBs). Therefore, monitoring battery temperature becomes one of the fundamental tasks for the safe and efficient operation of LIBs. Given the limited onboard temperature sensors, this paper proposes a sensorless temperature estimation method suitable for the smart battery system by obtaining the electrochemical impedance of batteries online via bypass actions. A suitable frequency is selected from the battery electrochemical impedance spectroscopy (EIS) to achieve an accurate and robust estimation of the battery temperature through online impedance measurement. Using the battery impedance with this selected frequency, the battery temperature can be estimated under different scenarios, with RMSE less than 1.5 _.

   Solid electrolyte interface layer growth - crack formation coupled model for Lithium-ion battery capacity fade prediction
By Wendi GUO, Yaqi LI, Zhongchao SUN, Søren Byg VILSEN, Daniel-Ioan STROE [View]
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Abstract: A physical model coupling the contribution of SEI layer growth and crack propagation is developed to predict capacity fade of lithium-ion batteries and verified by laboratory tests with estimation errors below 0.5\%. Results show SEI growth is the main contributor to capacity fade independently of considered three aging conditions.

EPE 2023 - LS4d: Battery managements systems and vehicle traction
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2023 ECCE Europe - Conference > EPE 2023 - Topic 08: Electric Vehicle Propulsion Systems and their Energy Storage > EPE 2023 - LS4d: Battery managements systems and vehicle traction
	[return to parent folder]

	Power Electronic Solutions to Compensate the Power Pulsation in Single-Phase Grid Connected High-Power Medium Voltage Converters By Stefan SCHÖNEWOLF, Mark-M. BAKRAN	[View] [Download]
Abstract: This work compares different active circuit topologies to compensate the power pulsation of a single-phase grid in high-power medium voltage converters. Using cost functions for semiconductors, capacitors and inductors, the properties of different circuit concepts are studied. An approach is selected and validated on a scaled test bench.

	Sensorless State of Temperature Estimation for Smart Battery based on Electrochemical Impedance By Yusheng ZHENG, Nicolai André WEINREICH, Abhijit KULKARNI, Yunhong CHE, Hoda SOROURI, Xin SUI, Remus TEODORESCU	[View] [Download]
Abstract: Temperature plays a significant role in the safety, performance, and lifetime of lithium-ion batteries (LIBs). Therefore, monitoring battery temperature becomes one of the fundamental tasks for the safe and efficient operation of LIBs. Given the limited onboard temperature sensors, this paper proposes a sensorless temperature estimation method suitable for the smart battery system by obtaining the electrochemical impedance of batteries online via bypass actions. A suitable frequency is selected from the battery electrochemical impedance spectroscopy (EIS) to achieve an accurate and robust estimation of the battery temperature through online impedance measurement. Using the battery impedance with this selected frequency, the battery temperature can be estimated under different scenarios, with RMSE less than 1.5 _.

	Solid electrolyte interface layer growth - crack formation coupled model for Lithium-ion battery capacity fade prediction By Wendi GUO, Yaqi LI, Zhongchao SUN, Søren Byg VILSEN, Daniel-Ioan STROE	[View] [Download]
Abstract: A physical model coupling the contribution of SEI layer growth and crack propagation is developed to predict capacity fade of lithium-ion batteries and verified by laboratory tests with estimation errors below 0.5\%. Results show SEI growth is the main contributor to capacity fade independently of considered three aging conditions.