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 Research on the Multi-Energy Management Strategy of the Electric Drive System of a Tracked Bulldozer

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Ming Pan ◽  
Jun Yan ◽  
Qunzhang Tu ◽  
Chengming Jiang
Keyword(s):  
Energy Management ◽  
Electric Drive ◽  
Power Distribution ◽  
Management Strategy ◽  
Drive System ◽  
Simulation Platform ◽  
Real Time Control ◽  
Energy Management Strategy ◽  
Power Requirement ◽  
Electric Drive System

The multi-energy management strategy of electric drive system of tracked bulldozer was researched. Firstly, based on power requirement of typical working condition of a tracked bulldozer, the power distribution strategy for three energy sources in the front power chain was proposed by using wavelet theory and fuzzy control theory. Secondly, the electric drive system simulation platform was built in MATLAB/Simulink. At last, a driver-controller based HILS (hardware-in-the-loop simulation) platform was built and the multi-energy management strategy was verified. The HILS result shows that front power chain’s power output can meet the back power chain’s requirement, the engine-generator set works near the best fuel consumption curve, and the battery pack’s charge-discharge frequency and current are low. Thus the designed multi-energy management strategy can be used in real-time control of electric drive bulldozer.

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.

scholarly journals Adaptive MPC Based Real-Time Energy Management Strategy of the Electric Sanitation Vehicles

2021 ◽  
Vol 11 (2) ◽  
pp. 498
Author(s):  
Hao Wang ◽  
Hongwen He ◽  
Jianwei Li ◽  
Yunfei Bai ◽  
Yuhua Chang ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Power Distribution ◽  
Management Strategy ◽  
Electricity Consumption ◽  
Air Pollution Control ◽  
Energy Management Strategy ◽  
Power Requirement ◽  
The Road ◽  
On The Road

Electric sanitation vehicles have increasingly been applied to cleaning work due to the requirement of air pollution control. The power distribution and energy management strategy (EMS) influence the vehicle’s performance a lot both in the aspects of cleaning effect and electricity consumption. Aiming to improve energy economy and ensure clean tasks, first, the electricity consumption percentages of the vehicle onboard devices are analyzed and the main contributors are clarified, and the power requirement model of the working motor is built based on experimental data. Second, a universal modeling method of garbage distribution on the road surface is proposed, which implements a nonlinear autoregressive neural network as the predictor. Third, an adaptive model predictive control (AMPC)-based EMS is proposed and verified. The results show the AMPC method can accurately predict the garbage density and the proposed EMS can approximate the energy consumption of the DP-based EMS with little deviation. Compared to conventional rule-based EMS, the AMPC-based EMS achieved a 15.5% decrease in energy consumption as well as a 14.6% decrease in working time.

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 Optimal Adaptive Gain LQR-Based Energy Management Strategy for Battery–Supercapacitor Hybrid Power System

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1660
Author(s):  
Seydali Ferahtia ◽  
Ali Djeroui ◽  
Tedjani Mesbahi ◽  
Azeddine Houari ◽  
Samir Zeghlache ◽  
...  
Keyword(s):  
Power System ◽  
Energy Management ◽  
Management Strategy ◽  
Lithium Ion ◽  
Control Technique ◽  
Energy Management Strategy ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Load Following ◽  
Stable Voltage

This paper aims at presenting an energy management strategy (EMS) based upon optimal control theory for a battery–supercapacitor hybrid power system. The hybrid power system consists of a lithium-ion battery and a supercapacitor with associated bidirectional DC/DC converters. The proposed EMS aims at computing adaptive gains using the salp swarm algorithm and load following control technique to assign the power reference for both the supercapacitor and the battery while achieving optimal performance and stable voltage. The DC/DC converter model is derived utilizing the first-principles method and computes the required gains to achieve the desired power. The fact that the developed algorithm takes disturbances into account increases the power elements’ life expectancies and supplies the power system with the required power.

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