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Dimensioning and configuration of EES systems for electric vehicles with boundary-conditioned adaptive scalarization

Published: 29 September 2013 Publication History

Abstract

Electric vehicles (EVs) are widely considered as a solution for efficient, sustainable and intelligent transportation. An electrical energy storage (EES) system is the most important component in an EV in terms of performances and cost. This work proposes an approach for optimal dimensioning and configuration of EES systems in EVs. It is challenging to find optimal design points in the parameter space, which expands exponentially with the number of battery types available and the number of cells that can be implemented for each type. A multi-objective optimization problem is formulated with the driving range, rated power output, installation space and cost as design targets. We report a novel boundary-conditioned adaptive scalarization technique to solve both convex and concave problems. It provides a Pareto surface of evenly distributed Pareto points, presents the group of Pareto points according to different specific requirements from automotive manufacturers and also takes the fact in EES system design into account that the importance of an objective could be nonlinear to its value. Numerical and practical experiments prove that our proposed approach is effective for industry use and produces optimal solutions.

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  1. Dimensioning and configuration of EES systems for electric vehicles with boundary-conditioned adaptive scalarization

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    cover image ACM Conferences
    CODES+ISSS '13: Proceedings of the Ninth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis
    September 2013
    335 pages
    ISBN:9781479914173

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    IEEE Press

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    Published: 29 September 2013

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    ESWEEK'13
    ESWEEK'13: Ninth Embedded System Week
    September 29 - October 4, 2013
    Quebec, Montreal, Canada

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    CODES+ISSS '13 Paper Acceptance Rate 31 of 111 submissions, 28%;
    Overall Acceptance Rate 280 of 864 submissions, 32%

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    View all
    • (2017)ACQUAProceedings of the 36th International Conference on Computer-Aided Design10.5555/3199700.3199726(193-200)Online publication date: 13-Nov-2017
    • (2016)Eco-friendly automotive climate control and navigation system for electric vehiclesProceedings of the 7th International Conference on Cyber-Physical Systems10.5555/2984464.2984485(1-10)Online publication date: 11-Apr-2016
    • (2016)OTEMProceedings of the 2016 Conference on Design, Automation & Test in Europe10.5555/2971808.2971814(19-24)Online publication date: 14-Mar-2016
    • (2015)Getting to know electric cars through an appProceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/2799250.2799272(289-296)Online publication date: 1-Sep-2015
    • (2015)Battery lifetime-aware automotive climate control for electric vehiclesProceedings of the 52nd Annual Design Automation Conference10.1145/2744769.2744804(1-6)Online publication date: 7-Jun-2015
    • (2014)Differentiated Driving RangeProceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/2667317.2667347(1-8)Online publication date: 17-Sep-2014
    • (2014)Verification of balancing architectures for modular batteriesProceedings of the 2014 International Conference on Hardware/Software Codesign and System Synthesis10.1145/2656075.2656104(1-10)Online publication date: 12-Oct-2014

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