scholarly journals Energy Management Strategy of a PEM Fuel Cell Excavator with a Supercapacitor/Battery Hybrid Power Source

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4362 ◽  
Author(s):  
Tri Cuong Do ◽  
Hoai Vu Anh Truong ◽  
Hoang Vu Dao ◽  
Cong Minh Ho ◽  
Xuan Dinh To ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Working Conditions ◽  
Power Supply ◽  
Management Strategy ◽  
Pem Fuel Cell ◽  
Power Source ◽  
Energy Management Strategy ◽  
Power Sources ◽  
Hybrid Power

Construction machines are heavy-duty equipment and a major contributor to the environmental pollution. By using only electric motors instead of an internal combustion engine, the problems of low engine efficiency and air pollution can be solved. This paper proposed a novel energy management strategy for a PEM fuel cell excavator with a supercapacitor/battery hybrid power source. The fuel cell is the main power supply for most of the excavator workload while the battery/supercapacitor is the energy storage device, which supplies additional required power and recovers energy. The whole system model was built in a co-simulation environment, which is a combination of MATLAB/Simulink and AMESim software, where the fuel cell, battery, supercapacitor model, and the energy management algorithm were developed in a Simulink environment while the excavator model was designed in an AMESim environment. In this work, the energy management strategy was designed to concurrently account for power supply performance from the hybrid power sources as well as from fuel cells, and battery lifespan. The control design was proposed to distribute the power demand optimally from the excavator to the hybrid power sources in different working conditions. The simulation results were presented to demonstrate the good performance of the system. The effectiveness of the proposed energy management strategy was validated. Compared with the conventional strategies where the task requirements cannot be achieved or system stability cannot be accomplished, the proposed algorithms perfectly satisfied the working conditions.

scholarly journals Erratum: Do, T.C., et al. Energy Management Strategy of a PEM Fuel Cell Excavator with a Supercapacitor/Battery Hybrid Power Source. Energies 2019, 12, 4362

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 136
Author(s):  
Tri Cuong Do ◽  
Hoai Vu Anh Truong ◽  
Hoang Vu Dao ◽  
Cong Minh Ho ◽  
Xuan Dinh To ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Management Strategy ◽  
Pem Fuel Cell ◽  
Power Source ◽  
Energy Management Strategy ◽  
Hybrid Power ◽  
Hybrid Power Source

The authors wish to make the following correction to this paper [...]

scholarly journals Traffic-Condition-Prediction-Based HMA-FIS Energy-Management Strategy for Fuel-Cell Electric Vehicles

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4426 ◽  
Author(s):  
Gang Yao ◽  
Changbo Du ◽  
Quanbo Ge ◽  
Haoyu Jiang ◽  
Yide Wang ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Electric Vehicles ◽  
Power Supply ◽  
Management Strategy ◽  
Energy Management Strategy ◽  
Traffic Condition ◽  
Power Sources ◽  
Traffic Conditions ◽  
Hybrid Power ◽  
Fuel Cell Electric Vehicles

In the field of Fuel Cell Electric Vehicles (FCEVs), a fuel-cell stack usually works together with a battery to improve powertrain performance. In this hybrid-power system, an Energy Management Strategy (EMS) is essential to configure the hybrid-power sources to provide sufficient energy for driving the FCEV in different traffic conditions. The EMS determines the overall performance of the power supply system; accordingly, EMS research has important theoretical significance and application values on the improvement of energy-utilization efficiency and the serviceability of vehicles’ hybrid-power sources. To overcome the deficiency of apparent filtering lag and improve the adaptability of an EMS to different traffic conditions, this paper proposes a novel EMS based on traffic-condition predictions, frequency decoupling and a Fuzzy Inference System (FIS). An Artificial Neural Network (ANN) was designed to predict traffic conditions according to the vehicle’s running parameters; then, a Hull Moving Average (HMA) algorithm, with filter-window width decided by the prediction result, is introduced to split the demanded power and keep low-frequency components in order to meet the load characteristics of the fuel cell; afterward, an FIS was applied to manage power flows of the FCEV’s hybrid-power sources and maintain the State of Change (SoC) of the battery in a predefined range. Finally, an FCEV simulation platform was built with MATLAB/Simulink and comparison simulations were carried out with the standard test cycle of the Worldwide harmonized Light vehicle Test Procedures (WLTPs). Simulation results showed that the proposed EMS could efficiently coordinate the hybrid-power sources and support the FCEV in following the reference speed with negligible control errors and sufficient power supply; the SoC of the battery was also maintained with good adaptability in different driving conditions.

Optimal energy management strategy for fuel cell/battery/supercapacitor vehicles using wavelet transform and equivalent consumption minimization strategy

2021 ◽  
pp. 095440702110697
Author(s):  
Pengfei Zou ◽  
Fazhan Tao ◽  
Zhumu Fu ◽  
Pengju Si ◽  
Chao Ma
Keyword(s):  
Wavelet Transform ◽  
Fuel Cell ◽  
Energy Management ◽  
Fuel Economy ◽  
Management Strategy ◽  
Low Frequency ◽  
Energy Management Strategy ◽  
Power Sources ◽  
Optimal Energy ◽  
Optimal Energy Management

In this paper, the hybrid electric vehicle is equipped with fuel cell/battery/supercapacitor as the research object, the optimal energy management strategy (EMS) is proposed by combining wavelet transform (WT) method and equivalent consumption minimization strategy (ECMS) for reducing hydrogen consumption and prolonging the lifespan of power sources. Firstly, the WT method is employed to separate power demand of vehicles into high-frequency part supplied by supercapacitor and low-frequency part allocated to fuel cell and battery, which can effectively reduce the fluctuation of fuel cell and battery to prolong their lifespan. Then, considering the low-frequency power, the optimal SOC of battery is used to design the equivalent factor of the ECMS method to improve the fuel economy. The proposed hierarchical EMS can realize a trade-off between the lifespan of power sources and fuel economy of vehicles. Finally, the effectiveness of the proposed EMS is verified by ADVISOR, and comparison results are given compared with the traditional ECMS method and ECMS combining the filter.

scholarly journals Optimization of Energy Management Strategy for the EPS with Hybrid Power Supply Based on PSO Algorithm

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 428
Author(s):  
Bin Tang ◽  
Di Zhang ◽  
Haobin Jiang ◽  
Yinqiu Huang
Keyword(s):  
Energy Management ◽  
Power Supply ◽  
Power Distribution ◽  
Management Strategy ◽  
Pso Algorithm ◽  
Output Current ◽  
Energy Management Strategy ◽  
Power Requirement ◽  
Rule Based ◽  
Hybrid Power

The traditional vehicle power supply is unable to meet the power requirement of electric power steering system (EPS) in heavy-duty vehicles at low speeds. A novel EPS with hybrid power supply (HP-EPS) is constructed in this paper, and a new optimized rule-based energy management strategy of hybrid power supply system is designed. The strategy determines the power distribution of the vehicle power supply (VPS) and super capacitor (SC), as well as the charging or discharging of SC. Furthermore, to minimize the output current fluctuation of the VPS, the optimization model of parameters in the strategy is established and the particle swarm optimization algorithm (PSO) algorithm is applied to optimize the rules in the energy management strategy. The verification for the designed energy management strategy is carried out in MATLAB/Simulink and results show that the output current peak of VPS decreases by 33% and its fluctuation depresses significantly. In addition, the SC is charged timely and fast, which is beneficial to guarantee enough state of charge (SOC) of SC. In conclusion, the optimized rule-based energy management strategy used for the HP-EPS system can meet the current requirement of EPS and effectively reduce the peak and fluctuation of the VPS output current.

scholarly journals System Design and Energy Management for a Fuel Cell/Battery Hybrid Forklift

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3440 ◽  
Author(s):  
Zhiyu You ◽  
Liwei Wang ◽  
Ying Han ◽  
Firuz Zare
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Power Distribution ◽  
Management Strategy ◽  
Operating Conditions ◽  
Working Time ◽  
Lead Acid Battery ◽  
Energy Management Strategy ◽  
Hybrid Power ◽  
Lead Acid

Electric forklifts, dominantly powered by lead acid batteries, are widely used for material handling in factories, warehouses, and docks. The long charging time and short working time characteristics of the lead acid battery module results in the necessity of several battery modules to support one forklift. Compared with the cost and time consuming lead acid battery charging system, a fuel cell/battery hybrid power module could be more convenient for a forklift with fast hydrogen refueling and long working time. In this paper, based on the characteristics of a fuel cell and a battery, a prototype hybrid forklift with a fuel cell/battery hybrid power system is constructed, and its hardware and software are designed in detail. According to the power demand of driver cycles and the state of charge (SOC) of battery, an energy management strategy based on load current following for the hybrid forklift is proposed to improve system energy efficiency and dynamic response performance. The proposed energy management strategy will fulfill the power requirements under typical driving cycles, achieve reasonable power distribution between the fuel cell and battery and, thus, prolong its continuous working time. The proposed energy management strategy is implemented in the hybrid forklift prototype and its effectiveness is tested under different operating conditions. The results show that the forklift with the proposed hybrid powered strategy has good performance with different loads, both lifting and moving, in a smooth and steady way, and the output of the fuel cell meets the requirements of its output characteristics, its SOC of battery remaining at a reasonable level.

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