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Special Issue "Energy Storage and Management for Electric Vehicles"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "Energy Storage and Application".

Deadline for manuscript submissions: 10 June 2019

Special Issue Editors

Guest Editor
Dr. James Marco

WMG, University of Warwick, Coventry CV4 7AL, UK
Website | E-Mail
Interests: electric vehicle modelling and control; battery systems engineering; battery modelling and control; battery repurposing and second-life applications of battery systems
Guest Editor
Dr. Dinh Quang Truong

WMG, University of Warwick, Coventry CV4 7AL, UK
Website | E-Mail
Interests: mechatronic systems design, modelling, and control; energy saving and management technologies; control theories and applications; battery management systems; renewable energy
Guest Editor
Dr. Stefano Longo

Advanced Vehicle Engineering Centre, Cranfield University, Cranfield, MK43 0AL, UK
Website | E-Mail
Interests: autonomous systems computing, simulation, and modelling; electric and hybrid vehicles; instrumentation and sensors; mechatronics and advanced controls; on-road vehicle dynamics; systems engineering

Special Issue Information

Dear Colleagues,

Within the automotive and road transport sector, one of the main drivers for technological development and innovation is the need to reduce the vehicle’s fuel consumption and exhaust emissions, while concurrently exceeding consumer expectations for quality, driveability, refinement, and range. To meet this challenge, vehicle manufacturers, subsystem suppliers, and academic institutions are working together to design, integrate, and validate the different technologies that will underpin future powertrain technologies for the next generation of hybridised and fully electric vehicles (e.g. HEV, EV). Within the context of many electrified vehicle applications, the energy storage system will be comprise of many hundreds of individual cells, safety devices, control electronics, and a thermal management subsystem. The aim of this Special Issue of Energies is to explore research innovation within the systems engineering challenge that incorporates mathematical modelling, control engineering, thermal management, mechanical design, packaging, and safety engineering—both at an energy storage system level and within the context of the complete vehicle and end-use application. Specific areas of interest include, but are not limited too:

  • New concepts in vehicle energy storage design, including the use of hybrid or mixed technology systems (e.g. battery and ultracapacitor) within both first-life and second-life applications.
  • New concepts in energy management optimisation and energy storage system design within electrified vehicles with greater levels of autonomy and connectivity.
  • The design, verification, and implementation of enhanced algorithms and models for battery control and monitoring, including new methods in state of charge estimation, state of health estimation, fast charge management, and active balancing.
  • Novel methods of thermal management, including the creation of new models, the use of new materials, and their integration within the broader thermal management requirements of the vehicle.
  • New techniques in battery system manufacture, including novel methods for cell interconnection, assembly, disassembly, and repurposing, both within the context of first-life and second-life applications.
  • Improved integration of the electrified vehicle within the energy system network including opportunities for optimised charging and vehicle-to-grid operation.
  • Telematics, big data mining, and machine learning for the performance analysis, diagnosis, and management of energy storage and integrated systems.

Dr. James Marco
Dr. Dinh Quang Truong
Dr. Stefano Longo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • energy management optmisation
  • mechatronics and advanced controls
  • systems modelling
  • battery management systems
  • drive-cycle creation
  • thermal management
  • energy storage ageing and degrdation
  • system testing and verification
  • vehicle-to-grid
  • vehicle charging
  • life-cycle assessment
  • second-life energy storage applications

Published Papers (3 papers)

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Research

Open AccessArticle Simulation of Thermal Behaviour of a Lithium Titanate Oxide Battery
Energies 2019, 12(4), 679; https://doi.org/10.3390/en12040679
Received: 29 January 2019 / Revised: 13 February 2019 / Accepted: 15 February 2019 / Published: 20 February 2019
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Abstract
One of the reasonable possibilities to investigate the battery behaviour under various temperature and current conditions is the development of a model of the lithium-ion batteries and then by employing the simulation technique to anticipate their behaviour. This method not only can save [...] Read more.
One of the reasonable possibilities to investigate the battery behaviour under various temperature and current conditions is the development of a model of the lithium-ion batteries and then by employing the simulation technique to anticipate their behaviour. This method not only can save time but also they can predict the behaviour of the batteries through simulation. In this investigation, a three-dimensional model is developed to simulate thermal and electrochemical behaviour of a 13Ah lithium-ion battery. In addition, the temperature dependency of the battery cell parameters was considered in the model in order to investigate the influence of temperature on various parameters such as heat generation during battery cell operation. Maccor automated test system and isothermal battery calorimeter were used as experimental setup to validate the thermal model, which was able to predict the heat generation rate and temperature at different positions of the battery. The three-dimensional temperature distributions which were achieved from the modelling and experiment were in well agreement with each other throughout the entire of discharge cycling at different environmental temperatures and discharge rates. Full article
(This article belongs to the Special Issue Energy Storage and Management for Electric Vehicles)
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Open AccessArticle Optimal Control for Hybrid Energy Storage Electric Vehicle to Achieve Energy Saving Using Dynamic Programming Approach
Energies 2019, 12(4), 588; https://doi.org/10.3390/en12040588
Received: 27 December 2018 / Revised: 9 February 2019 / Accepted: 11 February 2019 / Published: 13 February 2019
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Abstract
In this paper, the efficiency characteristics of battery, super capacitor (SC), direct current (DC)-DC converter and electric motor in a hybrid power system of an electric vehicle (EV) are analyzed. In addition, the optimal efficiency model of the hybrid power system is proposed [...] Read more.
In this paper, the efficiency characteristics of battery, super capacitor (SC), direct current (DC)-DC converter and electric motor in a hybrid power system of an electric vehicle (EV) are analyzed. In addition, the optimal efficiency model of the hybrid power system is proposed based on the hybrid power system component’s models. A rule-based strategy is then proposed based on the projection partition of composite power system efficiency, so it has strong adaptive adjustment ability. Additionally. the simulation results under the New European Driving Cycle (NEDC) condition show that the efficiency of rule-based strategy is higher than that of single power system. Furthermore, in order to explore the maximum energy-saving potential of hybrid power electric vehicles, a dynamic programming (DP) optimization method is proposed on the basis of the establishment of the whole hybrid power system, which takes into account various energy consumption factors of the whole system. Compared to the battery-only EV based on simulation results, the hybrid power system controlled by rule-based strategy can decrease energy consumption by 13.4% in line with the NEDC condition, while the power-split strategy derived from the DP approach can reduce energy consumption by 17.6%. The results show that compared with rule-based strategy, the optimized DP strategy has higher system efficiency and lower energy consumption. Full article
(This article belongs to the Special Issue Energy Storage and Management for Electric Vehicles)
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Open AccessFeature PaperArticle Equivalent Circuit Model Construction and Dynamic Flow Optimization Based on Zinc–Nickel Single-Flow Battery
Energies 2019, 12(4), 582; https://doi.org/10.3390/en12040582
Received: 15 January 2019 / Revised: 11 February 2019 / Accepted: 11 February 2019 / Published: 13 February 2019
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Abstract
Based on the zinc–nickel single-flow battery, a generalized electrical simulation model considering the effects of flow rate, self-discharge, and pump power loss is proposed. The results compared with the experiment show that the simulation results considering the effect of self-discharge are closer to [...] Read more.
Based on the zinc–nickel single-flow battery, a generalized electrical simulation model considering the effects of flow rate, self-discharge, and pump power loss is proposed. The results compared with the experiment show that the simulation results considering the effect of self-discharge are closer to the experimental values, and the error range of voltage estimation during charging and discharging is between 0% and 3.85%. In addition, under the rated electrolyte flow rate and different charge–discharge currents, the estimation of Coulomb efficiency by the simulation model is in good agreement with the experimental values. Electrolyte flow rate is one of the parameters that have a great influence on system performance. Designing a suitable flow controller is an effective means to improve system performance. In this paper, the genetic algorithm and the theoretical minimum flow multiplied by different flow factors are used to optimize the variable electrolyte flow rate under dynamic SOC (state of charge). The comparative analysis results show that the flow factor optimization method is a simple means under constant charge–discharge power, while genetic algorithm has better performance in optimizing flow rate under varying (dis-)charge power and state of charge condition in practical engineering. Full article
(This article belongs to the Special Issue Energy Storage and Management for Electric Vehicles)
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