Optimal economy-based battery degradation management dynamics for fuel-cell plug-in hybrid electric vehicles

Martel, F.; Kélouwani, Sousso; Dubé, Yves; Agbossou, Kodjo

doi:10.1016/j.jpowsour.2014.10.011

Cited by 63 publications

(20 citation statements)

References 57 publications

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“…is the total number of discharging cycles corresponding to [28,31]. In this study, the polynomial function between and is obtained through curve fitting using data from [31]:…”

Section: Battery Degradation Cost For Ev and Essmentioning

confidence: 99%

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Minimization of Residential Energy Cost Considering Energy Storage System and EV With Driving Usage Probabilities

Sun

Yue

Zhang

et al. 2019

IEEE Trans. Sustain. Energy

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This version is available at https://strathprints.strath.ac.uk/65407/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Strathprints administrator: strathprints@strath.ac.ukThe Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output. > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 Abstract-Electric vehicle (EV) can be applied to discharge power back to the grid, which is called vehicle-to-grid (V2G) technology. There is a constant debate on whether V2G is an economically viable option due to the high battery degradation cost. In this work, the cost benefit of EV customers participating in V2G has been studied using different feed-in tariffs (FITs). A model is developed for minimisation of energy cost for residential users, which includes an EV, a separate energy storage system (ESS) and renewable energy supply. Key factors such as the EV driving usage, the degradation cost of EV and ESS batteries are considered. The EV driving usage is established through a designed survey, from which the probability of vehicle parking and plug in at home, the probabilities of EV under driving and parking outside can be calculated. Comprehensive case studies have been undertaken to investigate the optimisation strategies under various scenarios. Two types of electricity tariffs, time-ofuse (TOU) and fixed tariffs, are considered. It is revealed that certain threshold levels of FITs are expected to allow users benefit from V2G technology. Compared with non-optimised operation, the cost saving with the optimised strategy is evident in the case studies. Index Terms-Electric vehicle (EV), vehicle to grid (V2G), energy storage system (ESS), battery degradation, driving usage, photovoltaic (PV), energy cost optimisation I. INTRODUCTIONA. Background lectric vehicles (EVs) have become popular in the past decade, one benefit of which is to reduce greenhouse gas emission in transportation systems. The charging load of EV supplied from renewable energy resources can further reduce transportation emission [1]. A reduction in gree...

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“…is the total number of discharging cycles corresponding to [28,31]. In this study, the polynomial function between and is obtained through curve fitting using data from [31]:…”

Section: Battery Degradation Cost For Ev and Essmentioning

confidence: 99%

“…In this study, the polynomial function between and is obtained through curve fitting using data from [31]:…”

Section: Battery Degradation Cost For Ev and Essmentioning

confidence: 99%

Minimization of Residential Energy Cost Considering Energy Storage System and EV With Driving Usage Probabilities

Sun

Yue

Zhang

et al. 2019

IEEE Trans. Sustain. Energy

View full text Add to dashboard Cite

show abstract

“…The comparison indicates a usable storage capacity of 5.9 kWh. However, lead acid batteries have a permitted depth-of-discharge of only 50% ensuring a certain battery lifetime [57]. Therefore, the storage capacity has to be doubled in the case of a battery system.…”

Section: φ E Useoptmentioning

confidence: 99%

Influence of Hydrogen-Based Storage Systems on Self-Consumption and Self-Sufficiency of Residential Photovoltaic Systems

2015

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This paper analyzes the behavior of residential solar-powered electrical energy storage systems. For this purpose, a simulation model based on MATLAB/Simulink is developed. Investigating both short-time and seasonal hydrogen-based storage systems, simulations on the basis of real weather data are processed on a timescale of 15 min for a consideration period of 3 years. A sensitivity analysis is conducted in order to identify the most important system parameters concerning the proportion of consumption and the degree of self-sufficiency. Therefore, the influences of storage capacity and of storage efficiencies are discussed. A short-time storage system can increase the proportion of consumption by up to 35 percentage points compared to a self-consumption system without storage. However, the seasonal storing system uses almost the entire energy produced by the photovoltaic (PV) system (nearly 100% self-consumption). Thereby, the energy drawn from the grid can be reduced and a degree of self-sufficiency of about 90% is achieved. Based on these findings, some scenarios to reach self-sufficiency are analyzed. The results show that full self-sufficiency will be possible with a seasonal hydrogen-based storage system if PV area and initial storage level are appropriate.

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“…Complex techno-economical criteria must be considered in the multi-source EMS design. Thus, reliability-aware design rely on complex degradation and ageing models of storage units, along with optimization methods [14]. The multi-scale character of multisource systems justify hierarchical control structures [15], with dynamically separated layers for enabling operation of sources in their "specialization" range of variations -according to Ragone's taxonomy -to improve their reliability [16].…”

Section: Introductionmentioning

confidence: 99%

Robust Energy Management System for Multi-Source DC Energy Systems—Real-Time Setup and Validation

Nwesaty

Bratcu

Ravey

et al. 2020

IEEE Trans. Contr. Syst. Technol.

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This paper aims at providing a proof of concept of a systematically designed LPV/H∞-based energy management system (EMS) for coordinated multi-variable control of multi-source electrical systems. A three-source electrical system representing the power supply system on board of an electric vehicle has been chosen as a representative example of irregular and generally not a priori known load variation. The power supply system is composed of fuel cell, battery and supercapacitor. Each power source is coupled to a DC-DC converter, all converters being connected in parallel to a common DC-bus in order to feed the load represented by the vehicle's electrical motor. The system is modelled as an LPV system -as its operating point depends on the load -and the control objectives are cast into the H∞ formalism as a disturbance-rejection problem.A dedicated hardware-in-the-loop system was built for proof of concept purpose, with real-world battery and supercapacitor being used, while the fuel cell system is entirely emulated. A dSPACE MicroAutoBox ® II device embeds the designed EMS, due to its flexibility and ease of programming with MATLAB ® . A driving cycle from IFSTTAR (Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux) is chosen as a pertinent scenario of load variation due to its rich frequency content able to challenge all the three sources. Effectiveness of the EMS is assessed in relation to the imposed control objectives -DC-bus voltage regulation, dynamical separation of power sources' current variations depending on the specialization range of each source, and imposing desired steady-state behavior for each of the three power sources -with very promising results.

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Optimal economy-based battery degradation management dynamics for fuel-cell plug-in hybrid electric vehicles

Cited by 63 publications

References 57 publications

Minimization of Residential Energy Cost Considering Energy Storage System and EV With Driving Usage Probabilities

Minimization of Residential Energy Cost Considering Energy Storage System and EV With Driving Usage Probabilities

Influence of Hydrogen-Based Storage Systems on Self-Consumption and Self-Sufficiency of Residential Photovoltaic Systems

Robust Energy Management System for Multi-Source DC Energy Systems—Real-Time Setup and Validation

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