Li-ion storage models for energy system optimization: the accuracy-tractability tradeoff

There is a need for accurate analytical models that describe how a Lithium-ion battery's state of charge evolves as a result of a charging or discharging operation and that can be used in optimization problems. Although 'white box' models that take into account the details of electro-chemical processes can be highly accurate, they are not typically suitable for optimization problems. We propose two models that represent different tradeoffs between accuracy and tractability. We validate the accuracy of these models with data traces obtained from extensive experiments using two different commercially-available cells based on two distinct Li-ion technologies. We find that one of our models can be easily adopted for use in a mathematical optimization problem, while significantly increasing the range of C-rates over which it is accurate (<5% error) compared to the models that are currently being used.

[1]  Catherine Rosenberg,et al.  Optimal Design of Solar PV Farms With Storage , 2015, IEEE Transactions on Sustainable Energy.

[2]  M. Wohlfahrt‐Mehrens,et al.  Ageing mechanisms in lithium-ion batteries , 2005 .

[3]  Catherine Rosenberg,et al.  Toward a Realistic Performance Analysis of Storage Systems in Smart Grids , 2015, IEEE Transactions on Smart Grid.

[4]  Shengbo Zhang The effect of the charging protocol on the cycle life of a Li-ion battery , 2006 .

[5]  Chaoyang Wang,et al.  Control oriented 1D electrochemical model of lithium ion battery , 2007 .

[6]  B. Nykvist,et al.  Rapidly falling costs of battery packs for electric vehicles , 2015 .

[7]  Remus Teodorescu,et al.  Investigation on the Self-discharge of the LiFePO4/C nanophosphate battery chemistry at different conditions , 2014, 2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific).

[8]  Xiaosong Hu,et al.  A comparative study of equivalent circuit models for Li-ion batteries , 2012 .

[9]  A. Zimmerman,et al.  Self-discharge losses in lithium-ion cells , 2004, IEEE Aerospace and Electronic Systems Magazine.

[10]  D. Doerffel,et al.  A critical review of using the peukert equation for determining the remaining capacity of lead-acid and lithium-ion batteries , 2006 .

[11]  Prashant J. Shenoy,et al.  Integrating Energy Storage in Electricity Distribution Networks , 2015, e-Energy.

[12]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[13]  Hongwen He,et al.  Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach , 2011 .

[14]  Alexandre Proutière,et al.  Impact of storage on the efficiency and prices in real-time electricity markets , 2013, e-Energy '13.

[15]  Ufuk Topcu,et al.  Optimal design of hybrid energy system with PV/wind turbine/storage: A case study , 2011, 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[16]  Catherine Rosenberg,et al.  Practical Strategies for Storage Operation in Energy Systems: Design and Evaluation , 2016, IEEE Transactions on Sustainable Energy.

[17]  Ufuk Topcu,et al.  A simple optimal power flow model with energy storage , 2010, 49th IEEE Conference on Decision and Control (CDC).

[18]  Ram Rajagopal,et al.  Modeling and online control of generalized energy storage networks , 2014, e-Energy.

[19]  Ralph E. White,et al.  Development of First Principles Capacity Fade Model for Li-Ion Cells , 2004 .

[20]  Joeri Van Mierlo,et al.  Peukert Revisited—Critical Appraisal and Need for Modification for Lithium-Ion Batteries , 2013 .