4.7 Article

Battery Energy Storage System (BESS) and Battery Management System (BMS) for Grid-Scale Applications

Journal

PROCEEDINGS OF THE IEEE
Volume 102, Issue 6, Pages 1014-1030

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPROC.2014.2317451

Keywords

Batteries; battery energy storage systems; battery management systems; control systems; electric grid; energy storage; grid control; grid optimization; grid storage; lithium ion; redox-flow systems; system optimization

Funding

  1. U.S.-India Partnership to Advance Clean Energy-Research (PACE-R) for the Solar Energy Research Institute for India and the United States (SERIIUS) - U.S. Department of Energy (Office of Science, [DE-AC36-08GO28308]
  2. Solar Energy Research Institute for India and the United States (SERIIUS) - Government of India, through the Department of Science and Technology [DE-AC36-08GO28308]

Ask authors/readers for more resources

The current electric grid is an inefficient system that wastes significant amounts of the electricity it produces because there is a disconnect between the amount of energy consumers require and the amount of energy produced from generation sources. Power plants typically produce more power than necessary to ensure adequate power quality. By taking advantage of energy storage within the grid, many of these inefficiencies can be removed. When using battery energy storage systems (BESS) for grid storage, advanced modeling is required to accurately monitor and control the storage system. A battery management system (BMS) controls how the storage system will be used and a BMS that utilizes advanced physics-based models will offer for much more robust operation of the storage system. The paper outlines the current state of the art for modeling in BMS and the advanced models required to fully utilize BMS for both lithium-ion batteries and vanadium redox-flow batteries. In addition, system architecture and how it can be useful in monitoring and control is discussed. A pathway for advancing BMS to better utilize BESS for grid-scale applications is outlined.

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