NSGA-III-SD based Fuzzy energy management system optimization for lithium battery/supercapacitor HEV

Gao, Ruibin; Tao, Jili; Zhang, Jingyi; Ma, Longhua; Xu, Min

doi:10.1016/j.asoc.2023.110280

Cited by 17 publications

(3 citation statements)

References 37 publications

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“…Finally, they conclude that the proposed method is better than rulebased and Adaptive-ECMS (A-ECMS). The same concept was used by [83] with the NSGA-III optimization method.…”

Section: B Optimal Flcmentioning

confidence: 99%

Energy Management in Hybrid Electric and Hybrid Energy Storage System Vehicles: A Fuzzy Logic Controller Review

Maghfiroh,

Wahyunggoro,

Cahyadi

2024

IEEE Access

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The transportation sector, a significant contributor to carbon dioxide emissions as of 2020, confronts a pressing challenge in mitigating pollution. Electric Vehicles (EVs) present a promising solution, offering a cleaner alternative; however, their limited travel range poses a constraint. Hybrid Electric Vehicles (HEVs) and Hybrid Energy Storage System Electric Vehicles (HESS EVs) emerge as economically feasible compromises. Nonetheless, the effective management of energy and the optimization of power source size remain crucial challenges for both HEVs and HESS EVs. Among various Energy Management Strategies (EMS), the Fuzzy Logic Controller (FLC) stands out for its performance, simplicity, and real-time applicability. This article comprehensively explores the diverse applications of FLC as an EMS in both HEVs and HESS EVs, providing a comparative analysis with other EMS methods and delving into the advantages and challenges associated with each approach. A detailed examination of various FLC types employed as EMS has been conducted, drawing insights from a multitude of references. Each class of FLC EMS is scrutinized, presenting a broad overview of proposed methodologies within each category. By providing this comprehensive information, the article equips readers with foundational knowledge and insights for the continued development of FLC EMS in hybrid electric and hybrid energy storage system electric vehicles.INDEX TERMS energy management, hybrid vehicle, electric vehicle, fuzzy logic controller, review I. INTRODUCTION

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“…Finally, they conclude that the proposed method is better than rulebased and Adaptive-ECMS (A-ECMS). The same concept was used by [83] with the NSGA-III optimization method.…”

Section: B Optimal Flcmentioning

confidence: 99%

Energy Management in Hybrid Electric and Hybrid Energy Storage System Vehicles: A Fuzzy Logic Controller Review

Maghfiroh,

Wahyunggoro,

Cahyadi

2024

IEEE Access

View full text Add to dashboard Cite

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“…Using bidirectional DC/DC converters, the fully active topology decouples the batteries and SCs [63][64][65][66][67][68]. One of the benefits of fully active HESSs is that they enable the optimal operation of each energy storage unit, enhancing performance and extending battery life.…”

Section: Fully Active Topologymentioning

confidence: 99%

“…The simulation results indicate that the proposed new control rule based on DP optimization improves the system efficiency by 10% compared with the original rule-based system. In [63], the NSGA-III is expected to update offline the FLC parameters while minimizing energy consumption and battery current fluctuation, subjected to constraints on the SoC of the supercapacitor. The fine-tune FLC is used to distribute power to the batteries during the online control phase.…”

Section: Optimization Of Rule-based Strategymentioning

confidence: 99%

Dual-Motor Dual-Source High Performance EV: A Comprehensive Review

Nguyen,

Nguyễn,

et al. 2023

Energies

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Electric vehicles (EVs) have been regarded as one of the promising alternatives to zero-emission transportation. New EV registrations have increased as a result of government policies and consumers’ awareness of climate change. Moreover, EV technology is being improved through ongoing research and development efforts. Among these, a powertrain with a combination of two electric motors has been proposed for high driving and efficiency performance. The study presents a comprehensive state-of-the-art review of architectures and energy distribution for a dual-motor equipped with dual-source EV system. In detail, various dual-motor configurations, and energy management strategies (EMSs) used in the literature are investigated and categorized. A comparison of the benefits and drawbacks of existing topologies and the EMSs of hybrid energy storage systems (HESSs) is also discussed. Following that, research gaps have been considered. This study can be used as a reference for researchers who are interested in the design and optimal control of the dual-motor dual-source EVs.

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Multiobjective Optimization

Coello Coello

2024

Handbook of Heuristics

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NSGA-III-SD based Fuzzy energy management system optimization for lithium battery/supercapacitor HEV

Cited by 17 publications

References 37 publications

Energy Management in Hybrid Electric and Hybrid Energy Storage System Vehicles: A Fuzzy Logic Controller Review

Energy Management in Hybrid Electric and Hybrid Energy Storage System Vehicles: A Fuzzy Logic Controller Review

Dual-Motor Dual-Source High Performance EV: A Comprehensive Review

Multiobjective Optimization

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