Abstract
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.
Original language | American English |
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Number of pages | 8 |
DOIs | |
State | Published - 2016 |
Event | 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 - Milwaukee, United States Duration: 18 Sep 2016 → 22 Sep 2016 |
Conference
Conference | 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 |
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Country/Territory | United States |
City | Milwaukee |
Period | 18/09/16 → 22/09/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
NREL Publication Number
- NREL/CP-5400-68303
Keywords
- batteries
- computer architecture
- electric vehicles
- microprocessors
- resistance
- state of charge