TY - GEN
T1 - An on-line tracking algorithm for Li-ion batteries' optimal charging frequency
AU - Hussein, Ala A.
AU - Fardoun, Abbas A.
AU - Stephen, Samantha S.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/30
Y1 - 2015/9/30
N2 - This paper proposes an online tracking algorithm to allocate and track the optimal charging frequency for lithium-ion (Li-ion) batteries in real time under any condition. The optimal frequency refers to the frequency of the sinusoidal component of the charging current at which the internal AC impedance of the battery cell is minimal. The AC impedance depends on the physical properties of the battery's electrodes and electrolyte. It also varies nonlinearly with temperature, state-of-charge (SOC) and state-of-health (SOH). Although the AC impedance can be determined offline using sophisticated AC cell models or measurement equipment, there is no direct way to measure it in real-time. The proposed technique has the capability of allocating and tracking the optimal frequency in real-time without using an AC battery model or measurement equipment. Moreover, the proposed technique is simple, inexpensive to implement, and applicable to any battery cell or pack. Derivation of the proposed technique followed by simulation verification is presented.
AB - This paper proposes an online tracking algorithm to allocate and track the optimal charging frequency for lithium-ion (Li-ion) batteries in real time under any condition. The optimal frequency refers to the frequency of the sinusoidal component of the charging current at which the internal AC impedance of the battery cell is minimal. The AC impedance depends on the physical properties of the battery's electrodes and electrolyte. It also varies nonlinearly with temperature, state-of-charge (SOC) and state-of-health (SOH). Although the AC impedance can be determined offline using sophisticated AC cell models or measurement equipment, there is no direct way to measure it in real-time. The proposed technique has the capability of allocating and tracking the optimal frequency in real-time without using an AC battery model or measurement equipment. Moreover, the proposed technique is simple, inexpensive to implement, and applicable to any battery cell or pack. Derivation of the proposed technique followed by simulation verification is presented.
KW - Charging efficiency
KW - constant current constant voltage (CCCV)
KW - pulse charging
KW - sinusoidal ripple charging (SRC)
UR - http://www.scopus.com/inward/record.url?scp=84956867842&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84956867842&partnerID=8YFLogxK
U2 - 10.1109/PESGM.2015.7285692
DO - 10.1109/PESGM.2015.7285692
M3 - Conference contribution
AN - SCOPUS:84956867842
T3 - IEEE Power and Energy Society General Meeting
BT - 2015 IEEE Power and Energy Society General Meeting, PESGM 2015
PB - IEEE Computer Society
T2 - IEEE Power and Energy Society General Meeting, PESGM 2015
Y2 - 26 July 2015 through 30 July 2015
ER -