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Title: Advanced Cell-Level Control for Extending Electric Vehicle Battery Pack Lifetime

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.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
U.S. Department of Energy, Advanced Research Projects Agency-Energy (ARPA-E)
OSTI Identifier:
1351867
Report Number(s):
NREL/CP-5400-68303
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 18-22 September 2016, Milwaukee, Wisconsin
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; 30 DIRECT ENERGY CONVERSION; state of charge; batteries; computer architecture; microprocessors; resistance; electric vehicles

Citation Formats

Rehman, M. Muneeb Ur, Zhang, Fan, Evzelman, Michael, Zane, Regan, Smith, Kandler, and Maksimovic, Dragan. Advanced Cell-Level Control for Extending Electric Vehicle Battery Pack Lifetime. United States: N. p., 2017. Web. doi:10.1109/ECCE.2016.7854827.
Rehman, M. Muneeb Ur, Zhang, Fan, Evzelman, Michael, Zane, Regan, Smith, Kandler, & Maksimovic, Dragan. Advanced Cell-Level Control for Extending Electric Vehicle Battery Pack Lifetime. United States. doi:10.1109/ECCE.2016.7854827.
Rehman, M. Muneeb Ur, Zhang, Fan, Evzelman, Michael, Zane, Regan, Smith, Kandler, and Maksimovic, Dragan. Thu . "Advanced Cell-Level Control for Extending Electric Vehicle Battery Pack Lifetime". United States. doi:10.1109/ECCE.2016.7854827.
@article{osti_1351867,
title = {Advanced Cell-Level Control for Extending Electric Vehicle Battery Pack Lifetime},
author = {Rehman, M. Muneeb Ur and Zhang, Fan and Evzelman, Michael and Zane, Regan and Smith, Kandler and Maksimovic, Dragan},
abstractNote = {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.},
doi = {10.1109/ECCE.2016.7854827},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Feb 16 00:00:00 EST 2017},
month = {Thu Feb 16 00:00:00 EST 2017}
}

Conference:
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