research-article

Hybrid energy storage systems and battery management for electric vehicles

Authors:

Sangyoung Park,

Naehyuck ChangAuthors Info & Claims

DAC '13: Proceedings of the 50th Annual Design Automation Conference

Article No.: 97, Pages 1 - 6

https://doi.org/10.1145/2463209.2488854

Published: 29 May 2013 Publication History

Abstract

Electric vehicles (EV) are considered as a strong alternative of internal combustion engine vehicles expecting lower carbon emission. However, their actual benefits are not yet clearly verified while the energy efficiency can be improved in many ways. The carbon emission benefits from EV is largely diminished if we charge EV with electricity from petroleum power plants due to power loss during generation, transmission, conversion and charging. On the other hand, regenerative braking is direct power conversion from the wheel to battery and one of the most important processes that can enhance energy efficiency of EV. Power loss during regenerative braking can be reduced by hybrid energy storage system (HESS) such that supercapacitors accept high power as batteries have small rate capability.

Conventional charge management does not systematically exchange charge between the supercapacitor and battery. However, asymmetry in acceleration and deceleration as well as battery charging and discharging capability make the supercapacitor state of charge (SoC) management override the efficiency optimization. Unlike previous works, we show how charge migration during idle and cruise/stopping time can be beneficial in terms of energy efficiency and cruise range. Systematic charge migration decouples SoC management and charging efficiency optimization giving a higher degree of freedom to charging efficiency optimization. We demonstrate the proposed charge migration between the supercapacitor and battery improves energy efficiency by 19.4%.

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Cited By

Jung MKim JLee SBaek D(2023)Energy-efficient driving scheduling for heterogeneous electric vehicles with consideration of overtakingEnergy Reports10.1016/j.egyr.2023.01.0389(2348-2358)Online publication date: Dec-2023
https://doi.org/10.1016/j.egyr.2023.01.038
Rasin ZMd Raif NPalraju L(2022)Investigation on Battery Supercapacitor Hybrid Energy Storage Performance based on Frequency Separation Strategy for Electric Vehicle Drive System2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE)10.1109/ISCAIE54458.2022.9794539(180-185)Online publication date: 21-May-2022
https://doi.org/10.1109/ISCAIE54458.2022.9794539
Kim ELee YHe LShin KLee J(2020)Power Guarantee for Electric Systems Using Real-Time SchedulingIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2020.297704131:8(1783-1798)Online publication date: 1-Aug-2020
https://doi.org/10.1109/TPDS.2020.2977041
Show More Cited By

Index Terms

Hybrid energy storage systems and battery management for electric vehicles
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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cover image ACM Conferences

DAC '13: Proceedings of the 50th Annual Design Automation Conference

May 2013

1285 pages

ISBN:9781450320719

DOI:10.1145/2463209

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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EDAC: Electronic Design Automation Consortium
SIGDA: ACM Special Interest Group on Design Automation
IEEE-CEDA

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SIGBED: ACM Special Interest Group on Embedded Systems

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Association for Computing Machinery

New York, NY, United States

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Published: 29 May 2013

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DAC '13

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DAC '13: The 50th Annual Design Automation Conference 2013

May 29 - June 7, 2013

Texas, Austin

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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Cited By

Jung MKim JLee SBaek D(2023)Energy-efficient driving scheduling for heterogeneous electric vehicles with consideration of overtakingEnergy Reports10.1016/j.egyr.2023.01.0389(2348-2358)Online publication date: Dec-2023
https://doi.org/10.1016/j.egyr.2023.01.038
Rasin ZMd Raif NPalraju L(2022)Investigation on Battery Supercapacitor Hybrid Energy Storage Performance based on Frequency Separation Strategy for Electric Vehicle Drive System2022 IEEE 12th Symposium on Computer Applications & Industrial Electronics (ISCAIE)10.1109/ISCAIE54458.2022.9794539(180-185)Online publication date: 21-May-2022
https://doi.org/10.1109/ISCAIE54458.2022.9794539
Kim ELee YHe LShin KLee J(2020)Power Guarantee for Electric Systems Using Real-Time SchedulingIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2020.297704131:8(1783-1798)Online publication date: 1-Aug-2020
https://doi.org/10.1109/TPDS.2020.2977041
Vatanparvar KAl Faruque M(2019)Self-Secured Control with Anomaly Detection and Recovery in Automotive Cyber-Physical Systems2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)10.23919/DATE.2019.8714833(788-793)Online publication date: Mar-2019
https://doi.org/10.23919/DATE.2019.8714833
Baek DChang N(2019)Runtime Power Management of Battery Electric Vehicles for Extended Range With Consideration of Driving TimeIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2018.288044127:3(549-559)Online publication date: Mar-2019
https://doi.org/10.1109/TVLSI.2018.2880441
Park DKim Y(2019)Fast Pareto Front Exploration for Design of Reconfigurable Energy StorageIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2018.281871138:3(526-537)Online publication date: Mar-2019
https://doi.org/10.1109/TCAD.2018.2818711
Malatji MChowdhury S(2019)Comparative study on Improvement in Battery Management System of Hybrid Batteries2019 IEEE PES/IAS PowerAfrica10.1109/PowerAfrica.2019.8928868(307-312)Online publication date: Aug-2019
https://doi.org/10.1109/PowerAfrica.2019.8928868
Kim EShin K(2019)Optimal Design and Management of a Hybrid Energy Storage System2019 IEEE 58th Conference on Decision and Control (CDC)10.1109/CDC40024.2019.9029184(4871-4876)Online publication date: Dec-2019
https://doi.org/10.1109/CDC40024.2019.9029184
Vatanparvar KFaruque M(2018)Design and Analysis of Battery-Aware Automotive Climate Control for Electric VehiclesACM Transactions on Embedded Computing Systems10.1145/320340817:4(1-22)Online publication date: 5-Jul-2018
https://dl.acm.org/doi/10.1145/3203408
Chang NFaruque MShao ZXue CChen YBaek D(2018)Survey of Low-Power Electric Vehicles: A Design Automation PerspectiveIEEE Design & Test10.1109/MDAT.2018.287347535:6(44-70)Online publication date: Dec-2018
https://doi.org/10.1109/MDAT.2018.2873475
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