TY - GEN
T1 - Advanced cell-level control for extending electric vehicle battery pack lifetime
AU - Rehman, M. Muneeb Ur
AU - Zhang, Fan
AU - Evzelman, Michael
AU - Zane, Regan
AU - Smith, Kandler
AU - Maksimovic, Dragan
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - A cell-level control approach for electric vehicle battery packs is presented that enhances traditional battery balancing goals to not only provide cell balancing but also achieve significant pack lifetime extension. These goals are achieved by applying a new life-prognostic based control algorithm that biases individual cells differently based on their state of charge, capacity and internal resistance. The proposed life control approach reduces growth in capacity mismatch typically seen in large battery packs over life while optimizing usable energy of the pack. The result is a longer lifetime of the overall pack and a more homogeneous distribution of cell capacities at the end of the first life for vehicle applications. Active cell balancing circuits and associated algorithms are used to accomplish the cell-level life extension objectives. This paper presents details of the cell-level control approach, selection and design of the active balancing system, and low-complexity state-of-charge, capacity, and series-resistance estimation algorithms. A laboratory prototype is used to demonstrate the proposed control approach. The prototype consists of twenty-one 25 Ah Panasonic lithium-Ion NMC battery cells from a commercial electric vehicle and an integrated BMS/DC-DC system that provides 750 W to the vehicle low voltage auxiliary loads.
AB - A cell-level control approach for electric vehicle battery packs is presented that enhances traditional battery balancing goals to not only provide cell balancing but also achieve significant pack lifetime extension. These goals are achieved by applying a new life-prognostic based control algorithm that biases individual cells differently based on their state of charge, capacity and internal resistance. The proposed life control approach reduces growth in capacity mismatch typically seen in large battery packs over life while optimizing usable energy of the pack. The result is a longer lifetime of the overall pack and a more homogeneous distribution of cell capacities at the end of the first life for vehicle applications. Active cell balancing circuits and associated algorithms are used to accomplish the cell-level life extension objectives. This paper presents details of the cell-level control approach, selection and design of the active balancing system, and low-complexity state-of-charge, capacity, and series-resistance estimation algorithms. A laboratory prototype is used to demonstrate the proposed control approach. The prototype consists of twenty-one 25 Ah Panasonic lithium-Ion NMC battery cells from a commercial electric vehicle and an integrated BMS/DC-DC system that provides 750 W to the vehicle low voltage auxiliary loads.
UR - http://www.scopus.com/inward/record.url?scp=85015448823&partnerID=8YFLogxK
U2 - 10.1109/ECCE.2016.7854827
DO - 10.1109/ECCE.2016.7854827
M3 - Conference contribution
AN - SCOPUS:85015448823
T3 - ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings
BT - ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings
PB - Institute of Electrical and Electronics Engineers
T2 - 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016
Y2 - 18 September 2016 through 22 September 2016
ER -
