“20th PSCC 2018 papers submission and review platform

Full Program »

Electrochemical energy storage

The declining cost of lithium-ion batteries makes them increasingly of interest for e-mobility and grid energy storage applications, where they are able to provide a variety of services from frequency response to arbitrage. Large scale battery systems are typically modularised and include a battery management system (BMS) to ensure safe operation, balance cells, and estimate metrics such as state of charge and health. Since limited sensing and actuation is possible with batteries, this is not a trivial task. Pack and cell voltages, current(s) and (some) surface temperatures are the only measurable variables and are linked non-trivially to the battery internal states. In addition, there is no universal agreement on the definition of these states. Hence, there is still much effort needed to improve diagnosis and prognosis methods. Modelling plays an essential role in design and management of battery systems, for both offline and online uses, respectively. This tutorial will introduce the fundamentals of energy storage (e.g. Ragone plots), and cover a range of aspects of battery modelling, such as open circuit voltage functions, equivalent circuit models of dynamics, thermal and degradation modelling. It will also explore links between cell and pack performance and economics for grid storage, by considering the solution of optimal control problems for revenue and profit in energy arbitrage including detailed consideration of the physical constraints

Author(s):

David Howey    
University of Oxford
United Kingdom

 

Powered by OpenConf®
Copyright ©2002-2014 Zakon Group LLC