Double layer metaheuristic based energy management strategy for a Fuel Cell/Ultra-Capacitor hybrid electric vehicle

Koubaa, Rayhane; Krichen, Lotfi

doi:10.1016/j.energy.2017.04.070

Cited by 45 publications

(24 citation statements)

References 47 publications

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“…Furthermore, due to the nature of the fuzzy logic, it is easy to incorporate with the control of the nonlinear vehicle dynamics, and to provide flexibility in design. However, the rule‐based techniques do not guarantee the optimal use of the storage units, and often require other optimization methods to establish the more efficient EMS …”

Section: Introductionmentioning

confidence: 99%

Jaya algorithm‐based energy management system for battery‐ and ultracapacitor‐powered ultralight electric vehicle

Demircali

Köroğlu

2020

Int J Energy Res

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Summary To improve the driving performance of the electric vehicles, batteries or ultracapacitors (UCs) are frequently preferred in the energizing systems. In hybrid structures with multiple supply sources, an energy management system (EMS) is needed to improve the system efficiency, and to provide the optimum power sharing between a battery and a UC. The purpose of this study is to investigate the effectiveness of the Jaya optimization method for the urban use of the EMS of an ultralight electric vehicle powered by battery/UC. The performance of the proposed method is compared with dynamic programming (DP) that is one of the global optimization methods and particle swarm optimization (PSO) that is one of the other heuristic methods for real‐time applications. The simulation results show that Jaya‐EMS approached 3.1% to the DP, which yields the optimum result with respect to the total energy loss. In addition, the proposed method yields a loss of less than 1.9% from the PSO‐EMS. If all the above situations are considered, the proposed EMS method has less lossy alternative solution for the real‐time applications.

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Section: Introductionmentioning

confidence: 99%

Jaya algorithm‐based energy management system for battery‐ and ultracapacitor‐powered ultralight electric vehicle

Demircali

Köroğlu

2020

Int J Energy Res

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“…These as‐assembled CSCs can work reversibly in a broad voltage window, allowing remarkably higher power densities when compared with other power storage devices like lithium‐ion batteries (LIBs) and primary batteries. In this regard, CSCs are widely adapted in energy‐bursting equipment such as high‐power lasers, emergency doors, electromagnetic forming, and automobile electronic ignition system . Nonetheless, limited by the physical charge storage mechanism of the electric double layer capacitance (EDLC), CSCs exhibit rather low energy density (≈1–2 orders of magnitude lower than that of lithium‐ion batteries), resulting in SCs mainly functioning as backup power sources in most cases.…”

Section: Introductionmentioning

confidence: 99%

“…In this regard, CSCs are widely adapted in energy-bursting equipments uch as high-power lasers, [3] emergency doors, [4] electromagnetic forming, [5] and automobile electronic ignition system. [6] Nonetheless, limitedb yt he physicalc harges torage mechanism of the electric double layer capacitance (EDLC), CSCs exhibit rather low energy density ( % 1-2 orders of magnitude lower than that of lithium-ion batteries), resultingi nS Cs mainly functioning as backup power sourcesi nm ost cases.I t is quite urgenta nd necessary to boost the energy density of CSCs in order to fulfill the ever-growing demand of long endurance.…”

Section: Introductionmentioning

confidence: 99%

Designing Carbon Based Supercapacitors with High Energy Density: A Summary of Recent Progress

Han

Lai

Wang

et al. 2018

Chemistry A European J

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Carbon based supercapacitors (CSCs), with high output power and long lifespan, are considered as promising power sources for modern electronic devices. The rush to find new approaches for optimizing their electrochemical behaviors is still vibrant, and particularly, widespread enthusiasm was focused on improving the energy density of CSCs through improving the specific capacitance and expanding the operating voltage. In this regard, this article provides a brief review about recent progress and new understanding about the assembly of CSCs with high energy density. Novel applied strategies were highlighted and discussed from the aspects of electrolyte, electrodes, and device modulation. Dynamic and mechanism factors associated with the energy storage process of CSCs are particularly emphasized. Finally, the opportunities and challenges are elaborated in the hope of guiding the promising direction for the design of high-energy CSCs.

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“…In this regard, several energy management strategies (EMSs), namely rule‐based, optimization‐based and intelligent‐based, have been proposed for the mentioned hybrid structures in literature . Some examples of very recent proposed online EMSs can be found in . In , an online EMS based on data fusion approach is suggested.…”

Section: Introductionmentioning

confidence: 99%

“…In , an online EMS based on extremum seeking method is suggested to maintain the PEMFC operating points in high efficiency region by means of a band‐pass filter. A two‐layer EMS composed of rule‐based approach and particle swarm optimization has been proposed for real‐time control of FCVs in . The rule‐based of this work is based on a static PEMFC map.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System

et al. 2018

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Output power of a fuel cell (FC) stack can be controlled through operating parameters (current, temperature, etc.) and is impacted by ageing and degradation. However, designing a complete FC model which includes the whole physical phenomena is very difficult owing to its multivariate nature. Hence, online identification of a FC model, which serves as a basis for global energy management of a fuel cell vehicle (FCV), is considerably important. In this paper, two well‐known recursive algorithms are compared for online estimation of a multi‐input semi‐empirical FC model parameters. In this respect, firstly, a semi‐empirical FC model is selected to reach a satisfactory compromise between computational time and physical meaning. Subsequently, the algorithms are explained and implemented to identify the parameters of the model. Finally, experimental results achieved by the algorithms are discussed and their robustness is investigated. The ultimate results of this experimental study indicate that the employed algorithms are highly applicable in coping with the problem of FC output power alteration, due to the uncertainties caused by degradation and operation condition variations, and these results can be utilized for designing a global energy management strategy in a FCV.

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Double layer metaheuristic based energy management strategy for a Fuel Cell/Ultra-Capacitor hybrid electric vehicle

Cited by 45 publications

References 47 publications

Jaya algorithm‐based energy management system for battery‐ and ultracapacitor‐powered ultralight electric vehicle

Jaya algorithm‐based energy management system for battery‐ and ultracapacitor‐powered ultralight electric vehicle

Designing Carbon Based Supercapacitors with High Energy Density: A Summary of Recent Progress

Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System

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