Distributed Control of Active Cell Balancing and Low-Voltage Bus Regulation in Electric Vehicles Using Hierarchical Model-Predictive Control

被引:18
|
作者
Gong, Zhe [1 ]
van de Ven, Bjorn A. C. [2 ]
Gupta, Kshitij M. [1 ]
da Silva, Carlos [1 ]
Amon, Cristina H. [1 ]
Bergveld, Henk Jan [2 ]
Donkers, M. C. F. Tijs [2 ]
Trescases, Olivier [1 ]
机构
[1] Univ Toronto, Fac Appl Sci & Engn, Toronto, ON M5S, Canada
[2] Eindhoven Univ Technol, Dept Elect Engn, Control Syst Grp, NL-5612 AZ Eindhoven, Netherlands
基金
加拿大自然科学与工程研究理事会;
关键词
Batteries; Computer architecture; Microprocessors; Lead; State of charge; Electric vehicles; Temperature measurement; Automotive electronics; battery management systems (BMS); control design; electric vehicles (EVs); energy storage; lithium batteries; STATE;
D O I
10.1109/TIE.2019.2956396
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Electric vehicle (EV) battery performance near end of life is limited by mismatched cell degradation, leading to an estimated 5-10% cell capacity variation across the pack. Active cell balancing hardware architectures incorporating a low-voltage (LV) bus supply have been introduced to unlock lost capacity due to cell imbalance at reduced cost, through elimination of the vehicle's 400-to-12 V dc-dc converter. In this article, a hierarchical model-predictive control scheme is applied to a time-shared isolated converter active balancing architecture that incorporates LV bus supply. The proposed controller efficiently divides computation among the battery management system (BMS) hardware components. The energy-buffering capability of the lead-acid battery, which is connected to the LV bus, is used to tradeoff balancing and bus regulation objectives, reducing peak power and improving the system cost-effectiveness. Simultaneous state-of-charge balancing and LV bus regulation is verified in simulation and experiment using real-world drive and LV load data collected from a GM Bolt EV. Similar controller performance compared to a central scheme is achieved in simulation. The experimental setup includes a custom 12S2P, 3.9 kWh, liquid-cooled Lithium Nickel Manganese Cobalt battery module with an embedded BMS. The controller performance is evaluated with an initial maximum state-of-charge imbalance of 6.8%.
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页码:10464 / 10473
页数:10
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