Methodology for the Optimisation of Battery Hybrid Energy Storage Systems for Mass and Volume Using a Power-To-Energy Ratio Analysis

Increasingly stringent emission regulations and environmental concerns have propelled the development of electrification technology in the transport industry. Yet, the greatest hurdle to developing fully electric vehicles is electrochemical energy storage, which struggles to achieve profitable speci...

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Main Authors: Gregory Tzermias, Sam Akehurst, Richard Burke, Chris Brace, Sunoj George, Johan Bernards, Christopher Smith
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Batteries
Subjects:
Online Access:https://www.mdpi.com/2313-0105/7/2/37
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author Gregory Tzermias
Sam Akehurst
Richard Burke
Chris Brace
Sunoj George
Johan Bernards
Christopher Smith
author_facet Gregory Tzermias
Sam Akehurst
Richard Burke
Chris Brace
Sunoj George
Johan Bernards
Christopher Smith
author_sort Gregory Tzermias
collection DOAJ
description Increasingly stringent emission regulations and environmental concerns have propelled the development of electrification technology in the transport industry. Yet, the greatest hurdle to developing fully electric vehicles is electrochemical energy storage, which struggles to achieve profitable specific power, specific energy and cost targets. Hybrid energy storage systems (HESSs), which combine energy- and power-optimised sources, seem to be the most promising solution for improving the overall performance of energy storage. The potential for gravimetric and volumetric reduction is strictly dependent on the overall power-to-energy ratio (PE ratio) of the application, packaging factors, the minimum and maximum PE ratio achievable for the system’s energy- and power-optimised sources and the performance of power electronics. This paper presents a simple optimisation methodology that considers these factors and identifies the optimal HESS requirements that may present new opportunities for a variety of vehicles where low weight and volume are of high importance. The simplicity of the method means that decisions relating to a HESS can be made earlier in the system design process. This method of analysis showed that a battery HESS has the potential to reduce cell mass and volume by over 30% for applications that are well suited to optimal HESS characteristics.
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spelling doaj.art-194068f7108d448cb999241d5597303b2023-11-21T22:37:57ZengMDPI AGBatteries2313-01052021-06-01723710.3390/batteries7020037Methodology for the Optimisation of Battery Hybrid Energy Storage Systems for Mass and Volume Using a Power-To-Energy Ratio AnalysisGregory Tzermias0Sam Akehurst1Richard Burke2Chris Brace3Sunoj George4Johan Bernards5Christopher Smith6Department of Mechanical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UKDepartment of Mechanical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UKDepartment of Mechanical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UKDepartment of Mechanical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UKMcLaren Automotive Limited, McLaren Technology Centre, Chertsey Road, Woking, Surrey GU21 4YH, UKMcLaren Automotive Limited, McLaren Technology Centre, Chertsey Road, Woking, Surrey GU21 4YH, UKMcLaren Automotive Limited, McLaren Technology Centre, Chertsey Road, Woking, Surrey GU21 4YH, UKIncreasingly stringent emission regulations and environmental concerns have propelled the development of electrification technology in the transport industry. Yet, the greatest hurdle to developing fully electric vehicles is electrochemical energy storage, which struggles to achieve profitable specific power, specific energy and cost targets. Hybrid energy storage systems (HESSs), which combine energy- and power-optimised sources, seem to be the most promising solution for improving the overall performance of energy storage. The potential for gravimetric and volumetric reduction is strictly dependent on the overall power-to-energy ratio (PE ratio) of the application, packaging factors, the minimum and maximum PE ratio achievable for the system’s energy- and power-optimised sources and the performance of power electronics. This paper presents a simple optimisation methodology that considers these factors and identifies the optimal HESS requirements that may present new opportunities for a variety of vehicles where low weight and volume are of high importance. The simplicity of the method means that decisions relating to a HESS can be made earlier in the system design process. This method of analysis showed that a battery HESS has the potential to reduce cell mass and volume by over 30% for applications that are well suited to optimal HESS characteristics.https://www.mdpi.com/2313-0105/7/2/37power-to-energy ratiobatteryHESSenergy densitypower densityDC/DC converter
spellingShingle Gregory Tzermias
Sam Akehurst
Richard Burke
Chris Brace
Sunoj George
Johan Bernards
Christopher Smith
Methodology for the Optimisation of Battery Hybrid Energy Storage Systems for Mass and Volume Using a Power-To-Energy Ratio Analysis
Batteries
power-to-energy ratio
battery
HESS
energy density
power density
DC/DC converter
title Methodology for the Optimisation of Battery Hybrid Energy Storage Systems for Mass and Volume Using a Power-To-Energy Ratio Analysis
title_full Methodology for the Optimisation of Battery Hybrid Energy Storage Systems for Mass and Volume Using a Power-To-Energy Ratio Analysis
title_fullStr Methodology for the Optimisation of Battery Hybrid Energy Storage Systems for Mass and Volume Using a Power-To-Energy Ratio Analysis
title_full_unstemmed Methodology for the Optimisation of Battery Hybrid Energy Storage Systems for Mass and Volume Using a Power-To-Energy Ratio Analysis
title_short Methodology for the Optimisation of Battery Hybrid Energy Storage Systems for Mass and Volume Using a Power-To-Energy Ratio Analysis
title_sort methodology for the optimisation of battery hybrid energy storage systems for mass and volume using a power to energy ratio analysis
topic power-to-energy ratio
battery
HESS
energy density
power density
DC/DC converter
url https://www.mdpi.com/2313-0105/7/2/37
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