scholarly journals Better Batteries Through Electrochemistry

2014 ◽  
Vol 136 (06) ◽  
pp. S15-S21 ◽  
Author(s):  
Scott J. Moura ◽  
Hector E. Perez

This article introduces key concepts in Electrochemical-based Control (ECC) systems for batteries, and highlights the fundamentals of battery electrochemistry, state-of-charge/state-of-health (SOC/SOH) estimation, and constrained control. Research on battery SOC/SOH estimation has experienced considerable growth, and can be categorized under equivalent circuit models (ECM) or EChem model-based algorithms. EChem models capture the spatiotemporal dynamics of lithium-ion concentration, electric potential, and intercalation kinetics. The most fundamental reduced EChem model is the single-particle model (SPM). The SPM idealizes each electrode as a single aggregate spherical particle. Advanced control systems that optimize battery performance and longevity are a key enabler for reducing costs and catalyzing deeper penetration into transportation fleets and electric power grids. The dynamic systems and control community are uniquely positioned to play a significant role, as batteries provide a rich opportunity for advancements in fundamental control science and emerging energy application areas.

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Bo Liu ◽  
Housheng Su ◽  
Licheng Wu ◽  
Shengchao He

Recently, algebraic characterization of multiagent controllability through its topology has been widely concerned by the systems and control community. The controllability of leader-follower networked multiagent systems under the framework of generic linear dynamics is firstly discussed via λ-matrix. Some new algebra-theoretic necessary and/or sufficient conditions of the controllability for generic linear multiagent systems are established. Moreover, the controllable conditions for multiagent networks with special topological graphs through λ-matrix are presented.


2018 ◽  
Vol 45 ◽  
pp. 1-4 ◽  
Author(s):  
Pramod P. Khargonekar ◽  
Munther A. Dahleh

Author(s):  
Satadru Dey ◽  
Beshah Ayalew ◽  
Pierluigi Pisu

For control and estimation tasks in battery management systems, the benchmark Li-ion cell electrochemical pseudo-two-dimensional (P2D) model is often reduced to the Single Particle Model (SPM). The original SPM consists of two electrodes approximated as spherical particles with spatially distributed Li-ion concentration. However, the Li-ion concentration states in these two-electrode models are known to be weakly observable from the voltage output. This has led to the prevalent use of reduced models in literature that generally approximate Li-ion concentration states in one electrode as an algebraic function of that in the other electrode. In this paper, we remove such approximations and show that the addition of the thermal model to the electrochemical SPM essentially leads to observability of the Li-ion concentration states in both electrodes from voltage and temperature measurements. Then, we propose an estimation scheme based on this SPM coupled with lumped thermal dynamics that estimates the Li-ion concentrations in both electrodes. Moreover, these Li-ion concentration estimates also enable the estimation of the cell capacity. The estimation scheme consists of a sliding mode observer cascaded with an Unscented Kalman filter (UKF). Simulation studies are included to show the effectiveness of the proposed scheme.


2018 ◽  
Vol 66 (7) ◽  
pp. 573-589 ◽  
Author(s):  
Timm Faulwasser ◽  
Alexander Engelmann ◽  
Tillmann Mühlpfordt ◽  
Veit Hagenmeyer

Abstract The Energiewende is a paradigm change that can be witnessed at latest since the political decision to step out of nuclear energy. Moreover, despite common roots in Electrical Engineering, the control community and the power systems community face a lack of common vocabulary. In this context, this paper aims at providing a systems-and-control specific introduction to optimal power flow problems which are pivotal in the operation of energy systems. Based on a concise problem statement, we introduce a common description of optimal power flow variants including multi-stage problems and predictive control, stochastic uncertainties, and issues of distributed optimization. Moreover, we sketch open questions that might be of interest for the systems and control community.


2018 ◽  
Vol 45 ◽  
pp. 5-17 ◽  
Author(s):  
Domitilla Del Vecchio ◽  
Yili Qian ◽  
Richard M. Murray ◽  
Eduardo D. Sontag

2020 ◽  
Vol 50 ◽  
pp. 343-344
Author(s):  
Esteban A. Hernandez-Vargas ◽  
Giulia Giordano ◽  
Eduardo Sontag ◽  
J. Geoffrey Chase ◽  
Hyeygjeon Chang ◽  
...  

Author(s):  
Esteban A. Hernandez-Vargas ◽  
Giulia Giordano ◽  
Eduardo Sontag ◽  
J. Geoffrey Chase ◽  
Hyeygjeon Chang ◽  
...  

2002 ◽  
Author(s):  
Christopher Barnes ◽  
Linda R. Elliott ◽  
Phil Tessier ◽  
Plamen Petrov

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