Energy management of fuel cell electric vehicles based on working condition identification of energy storage systems, vehicle driving performance, and dynamic power factor

Gharibeh, Hamed Farhadi; Yazdankhah, Ahmad Sadeghi; Azizian, Mohammad Reza

doi:10.1016/j.est.2020.101760

Cited by 74 publications

(26 citation statements)

References 37 publications

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“…Therefore, improving the lifetime of the FCEV / FCHEV supply system and reducing vehicle costs are necessary in the competitiveness of HEVs [139]. The design of adequate energy management system [140] leads to obtaining driving prediction objectives: speed, acceleration, power demand, distance until hydrogen refueling station, driving models, battery SOC, driver's driving style, etc. [141].…”

Section: Analysis Of Learning Based Strategies Methodology In Fcevmentioning

confidence: 99%

Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies

et al. 2021

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With the development of technologies in recent decades and the imposition of international standards to reduce greenhouse gas emissions, car manufacturers have turned their attention to new technologies related to electric/hybrid vehicles and electric fuel cell vehicles. This paper focuses on electric fuel cell vehicles, which optimally combine the fuel cell system with hybrid energy storage systems, represented by batteries and ultracapacitors, to meet the dynamic power demand required by the electric motor and auxiliary systems. This paper compares the latest proposed topologies for fuel cell electric vehicles and reveals the new technologies and DC/DC converters involved to generate up-to-date information for researchers and developers interested in this specialized field. From a software point of view, the latest energy management strategies are analyzed and compared with the reference strategies, taking into account performance indicators such as energy efficiency, hydrogen consumption and degradation of the subsystems involved, which is the main challenge for car developers. The advantages and disadvantages of three types of strategies (rule-based strategies, optimization-based strategies and learning-based strategies) are discussed. Thus, future software developers can focus on new control algorithms in the area of artificial intelligence developed to meet the challenges posed by new technologies for autonomous vehicles.

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Section: Analysis Of Learning Based Strategies Methodology In Fcevmentioning

confidence: 99%

Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies

et al. 2021

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“…The first stage constraint model does not consider the influence of the uncertainty of WT and solar PV units generation in real-time stage. If it wants to introduce the uncertainty of WT and solar PV units generation sets (13)(14)(15)(16) into the constraints, it needs the CCHP microgrid to retain the re-adjustment power space of the controllable unit in day-ahead scheduling. By this way, the influence of the volatility of WT and solar PV units generation can be reduced.…”

Section: Constraintsmentioning

confidence: 99%

“…However, the RE output has the attributes of fluctuation and randomness [4]. When extensive accessing to the power grid, the renewable energy Energies 2020, 13, 6526 2 of 22 may threaten the security and stability of the power grid. In addition, such as curvature condition of wind power and photovoltaic power will result in invalid investment problems [5].…”

Section: Introductionmentioning

confidence: 99%

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Research on Comprehensive Value of Electrical Energy Storage in CCHP Microgrid with Renewable Energy Based on Robust Optimization

Zhao

Wang

et al. 2020

Energies

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The combined cooling, heating, and power (CCHP) microgrid system is good for energy gradient utility. At the same time, it can promote the renewable energy (RE) consumption and abate environmental pollution. In a CCHP microgrid system, the electrical energy storage (EES), which can storage and release electrical energy, plays an indispensable role. A robust optimization model of the CCHP microgrid participating in power market transaction is constructed to calculate the CCHP microgrid operation cost in 4 cases. The results show that the EES can significantly reduce the cost of the CCHP microgrid by 13.21%, compared with 8.36% in Group 1 without renewable energy. The EES can reduce the reserved capacity of micro gas turbine units to deal with the precariousness of RE generation and then reduce the CCHP microgrid operation cost by reducing the purchase of energy from the power grid and arbitrage. Finally, the calculation method of comprehensive value of the EES is constructed. The comprehensive value of the EES is higher in Group 2 with renewable energy compared with Group 1 without renewable energy. Through net present value (NPV) calculation and sensitivity analysis, it is found that the RE penetration level and EES cost have the greatest impact on the economic performance of EES. This shows that with the continuous rising of the RE penetration level and the gradual decrease of EES cost, great potential still waits to be tapped in the comprehensive value of EES in the future.

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“…As the electric market structures change to improve the management of renewable sources, advances in the design and pricing aspects of energy and ancillary services markets are needed. The main objectives of an energy management system are to ensure the maximum utilization of RERs, continuous power supply to the load, reduce the cost of energy production and increase the stability of the system [12]. To achieve these objectives efficiently and fast control techniques are required which are capable of processing information intelligently and taking critical decisions dynamically within the operational constraints.…”

Section: Introductionmentioning

confidence: 99%

Energy Storage and Electric Vehicles: Technology, Operation, Challenges, and Cost-Benefit Analysis

Salkuti¹

2021

IJACSA

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With ever-increasing oil prices and concerns for the natural environment, there is a fast-growing interest in electric vehicles (EVs) and renewable energy resources (RERs), and they play an important role in a gradual transition. However, energy storage is the weak point of EVs that delays their progress. The world's EV industry is accelerating to faster adoption with appropriate incentives to the EV owners, policy support, and encouraging local manufacturing. The increasing demand for EV's has presented itself as an authentic alternative to internal combustion engines (ICE). The main feature of the RERs is their variability and intermittency. These drawbacks are overcome by integrating more than one renewable energy source including backup sources and storage systems. This paper presents various technologies, operations, challenges, and costbenefit analysis of energy storage systems and EVs.

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Energy management of fuel cell electric vehicles based on working condition identification of energy storage systems, vehicle driving performance, and dynamic power factor

Cited by 74 publications

References 37 publications

Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies

Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies

Research on Comprehensive Value of Electrical Energy Storage in CCHP Microgrid with Renewable Energy Based on Robust Optimization

Energy Storage and Electric Vehicles: Technology, Operation, Challenges, and Cost-Benefit Analysis

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