iCode Workshop

 

Modelling and optimization of energy storage systems

Focus on Zinc-airflow batteries

 

 

An event of the RTE Chair at CentraleSupélec (https://rtechair.fr/)

Dates:

October 10-11, 2019

Location

CentraleSupélec – Saclay Campus, France
Amphi SC.071, Bouygues building

Information:

Registration to the workshop is free and open to everyone.
The number of participants being limited,
you are adviced to register early by sending an e-mail to sorin.olaru@centralesupelec.fr

Program:

October 10th

  • 9:00 - 9:15 Opening and presentation of iCode - Yacine Chitour
  • 9:15 - 9:45 "Classes of energy storage systems. A electrochemistry perspective" Soorathep Kheawhom (Chulalongkorn University, Thailand)
  • 9:45 - 10:15 "Fast charging station with battery storage system for EV: Grid services and battery degradation" Marc Petit (Geeps - CentraleSupelec - France)

cofee break

  • 10:30 - 11:00 "A control theory perspective on energy storage systems. From model-based predictive energy management to fault detection and identification" by Sorin Olaru (L2S - CentraleSupelec -France)
  • 11:00 - 11:30 "Modelling approaches for small to medium-size chemical batteries. A control interpretation." Florin Stoican (Politehnica University, Bucharest)
  • 11:30 - 12:00 "Characteristics and performances of zinc-based batteries" Soorathep Kheawhom (Chulalongkorn University, Thailand)

lunch break

  • 13:30 - 14:00  "Mathematical modeling of instantaneous voltage/current dependences on discharge current and depth of discharge for zinc-air battery cell " Anna Golovkina (Saint Petersburg University, Russia)
  • 14:00 - 14:30  "Dynamic behaviour of zinc-air battery cell " Sorin Olaru (L2S - CentraleSupelec -France)
  • 14:30 - 15:15  "On modeling and estimation of zinc-air battery dynamics " Sette Diop (L2S - CNRS -France)

cofee break

  • 15:30 - 16:00  "Battery SOC trajectory optimization for hybrid electric vehicles"  Nicoleta Stroe (Renault)
  • 16:00 - 16:30  "On-line model-based short circuit diagnosis of lithium-ion batteries for electric vehicle application " Jianwen MENG (GeePs and ESTACA - France)
  • 16:30 - 17:00  "Charge analysis for Li-ion battery pack state of health estimation for electric and hybrid vehicles" Mawonou Kodjo-Senou-Rodolphe (Renault et L2S - France)
  • 17:00 - 17:30 "Maximizing Performance of Perovskite Solar Cells during Real World Operation"  Rongrong Cheacharoen (Chulalongkorn University, Thailand)

October 11th

Hands-on tests on the newly installed zinc-airflow battery cell.

Participants

Dominique Beauvois (L2S - CentraleSupelec -France)
Rongrong Cheacharoen (Chulalongkorn University, Thailand)
Demba Diallo (Geeps - France)
Sette Diop (L2S - CNRS -France)
Anna Golovkina (Saint Petersburg University, Russia)
Morten Hovd (NTNU Trondheim, Norway)
Jitti Kasemchainan (Chulalongkorn University, Thailand)
Soorathep Kheawhom (Chulalongkorn University, Thailand)
Mawonou Kodjo-Senou-Rodolphe (Renault et L2S - France)
Sorin Olaru (L2S - CentraleSupelec -France)
Florin Stoican (Politehnica University, Bucharest, Romania)
Nicoleta Stroe (Renault, France)
Pedro Rodriguez (L2S - CentraleSupelec -France)
Jianwen MENG (GeePs and ESTACA - France)
Marc Petit (Geeps - CentraleSupelec - France)
Cristina Vlad (L2S - CentraleSupelec -France)
Junbo Tan (Tsingua University, China)
 

 

Abstracts:

Classes of energy storage systems. A electrochemistry perspective

Soorathep Kheawhom (Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok Thailand)

Renewable energy sources (RESs) have broadly drawn in attention to the global energy supply. However, the effective utilization of RESs requires a safe and cost-effective electrical energy storage system (EES). Lithium-ion batteries (LIBs) have been the most commonly recognized EES. Nonetheless, their high cost and safety issues are a considerable barrier to their practical implementation. Besides, current and future lithium (Li) supply are not appropriate to use in large-scale systems. Several metals have been studied in different battery systems. Among these, zinc reveals a great promise as an alternative material because of its abundance, low cost, low toxicity, high safety, and environmentally friendly. Additionally, the standard reduction potential of zinc is not too low to be used in pair with an aqueous electrolyte.

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Modelling approaches for small to medium-size chemical batteries. A control interpretation.

Florin Stoican (Politehnica University, Bucharest)

Electro-chemical batteries are highly nonlinear systems with complex dynamics with poorly known parameters. Thus, the state of the art proposes simplified dynamics, the so-called ``electric equivalent circuit'' models.
This presentation enumerates some of the better known models and explains the associated notions. Particular attention is given to the parameter estimation and the suitability of the models from the control viewpoint.

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Characteristics and performances of zinc-based batteries

Soorathep Kheawhom (Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok Thailand)

Zinc has been utilized in various types of rechargeable battery, such as zinc-air, zinc-ion, and zinc-iodine batteries. Herein, these batteries are highlighted. Zinc-air batteries, which consume oxygen gas as an active material, is an appealing energy storage solution for many applications, ranging from electric vehicles and electrical grid regulation to portable electronic devices. However, the advancement of practically feasible rechargeable zinc-air batteries is still a challenge. Typical difficulties and solutions relating to rechargeable zinc-air batteries are discussed. Zinc-ion batteries, which include a zinc metal anode, a zinc-containing electrolyte, and a cathode for hosting zinc ions, are receiving much attention recently. Various strategies to boost performances of the battery are highlighted.  Recently, zinc-iodine batteries are receiving increasing attention due to their excellent cyclability and round-trip efficiency.
These mentioned battery systems exhibit different behaviors and characteristics. The insight of the behavior of battery is usually required for effective implementation. Herein, the key performance and characteristic of each zinc-based battery technology are highlighted.

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Mathematical modeling of instantaneous voltage/current dependences on discharge current and depth of discharge for zinc-air battery cell.

Anna Golovkina (Saint Petersburg University, Russia)

The talk is devoted to the onstruction of mathematical model describing nonlinear dependences of instantaneous values of voltage and current on depth of discharge and selected discharge current for newly designed zinc-airflow battery cell. The quality of this model has crucial importance for the further battery dynamic modeling as it represents the built-in nonlinearity source. Measured discharge profiles for different referenced discharged current were approximated by two types of sigmoid functions: Boltzman and Biphasic Dose Response. Parameters fitting for these models was done by minimizing chi-squared error criterion using Levenberg-Marquardt algorithm. Obtained models accurately approximating experimental data with coefficient of determination >= 0.995 for Biphasic Dose Response function and >= 0.975 for Boltzman function in the interval of variations covered by existing data are presented. However extrapolation using the models prove to be problematic. In order that model still reflects physical behavior of discharge outside the interval of approximation, some restrictions on its parameters were imposed. The results of the global approximation procedure for voltage and current profiles will be described.

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On modeling and estimation of zinc-air battery dynamics

Sette Diop (L2S - CNRS -France)

This talk will attempt to provide an abstract overview of the literature on modeling and estimation of batteries in general with focus on zinc-air one. Details on observation/estimation techniques for non specialist may be provisioned if useful and if time permits.

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On-line model-based short circuit diagnosis of lithium-ion batteries for electric vehicle application

Jianwen MENG (GeePs and ESTACA - France)

Battery short circuit (SC), including both internal short circuit (ISC) and external short circuit (ESC), is an important stage before thermal runaway (TR). Therefore, on-line incipient battery SC detection is of vital importance to guarantee a safe and reliable operation of Lithium-Ion Batteries (LIBs). From the perspective of control-oriented work, an incipient SC diagnosis method that is independent of battery intrinsic properties as much as possible is proposed. Based on a slightly modified battery equivalent circuit model (ECM), the purpose of battery incipient SC detection is achieved from the aspect of fault estimation. A robust fault estimator, under the form of proportional-integral observer, is designed by solving two linear-matrix-inequality (LMI) constraints. It provides an effective fault indicator and a robust battery state-of-charge (SOC) estimation under degraded mode. Numerical studies using synthetic data have proven the effectiveness of the proposed diagnosis method.

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Charge analysis for Li-ion battery pack state of health estimation for electric and hybrid vehicles

Mawonou Kodjo-Senou-Rodolphe (Renault et L2S - France)

The aging monitoring of Lithium-ion batteries (LIBs) represents a critical point for electrified vehicle applications. Consumers may expect their vehicle to have a steady autonomy range and available power throughout the lifetime of their cars. Several embedded solutions exist in the literature. In this paper two new approaches are suggested to enrich the existing solutions. To that extent, capacity fading is studied using exchanged energy during charging events. What's more, power fading is assessed using direct current resistance (DCR) and voltage measurement at the beginning of charge events. Both these solutions produce reliable state of health measurements SoH with significantly good accuracy.

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Battery SOC trajectory optimization for hybrid electric vehicles

Nicoleta Stroe (Renault)

Hybrid electric vehicles are one of the solutions envisaged for CO2 emissions reduction and recent years have witnessed an increased interest in their development. From a control perspective, the management of the battery SOC trajectory has a tremendous impact on the fuel economy performance. This talk will  offer an overview of the challenges encountered  in the context of various architectures, optimization objectives and constraints.

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Fast charging station with battery storage system for EV: Grid services and battery degradation

Marc Petit (Geeps - CentraleSupelec - France)

Electric Vehicles (EVs) will be in a near future a non-negligible part of the world's car fleet. Nevertheless, a dense network of Fast Charging Stations (FCS) on highways is needed to enable EVs to be competitive with Internal Combustion Engine (ICE) vehicles for long distances. FCS require high power from the grid to charge EVs in less than 30 minutes. Such high power will generate negative impacts on the power grid and will necessitate high investment costs for grid connection. A Battery Electric Storage System (BESS) inside the FCS could alleviate those negative impacts. The presence of a BESS then permits to offer grid services and to increase the profits of the FCS operator. However, the deployment of grid services with BESS is often faced to concerns on additional battery degradation. In this paper, we propose a FCS model including grid services and a study of battery degradation under different circumstances, and an economic comparison is done with the net present value.

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Maximizing Performance of Perovskite Solar Cells during Real World Operation

Rongrong Cheacharoen (Chulalongkorn University, Thailand)

Organic-inorganic lead halide perovskite solar cells have been exciting with record power conversion efficiency above 25%, low cost solution-processability, high defect tolerance property, and easily tunable bandgap. However, perovskite suffers from ion-migration with presence of light and electrical bias, resulting in hysteresis effect and slow performance recovery at the beginning of the day. This talk will first present different ion-migration mechanisms in perovskite solar cells, followed by performance recovery effects during operation and after ageing in different environments. Lastly, the talk will review attempts, including electrical aspect, to maximize performance of the solar cells, especially at the transition between night and day.