scholarly journals Hybrid Energy Storage Management Strategy for Electric Propulsion Aircraft Based on Three-Step Power Distribution

2021 ◽  
Vol 12 (4) ◽  
pp. 209
Author(s):  
Hang Li ◽  
Taike Yao ◽  
Xuan Zhang ◽  
Feifei Bu ◽  
Luhui Weng
Keyword(s):  
Energy Storage ◽  
Power Distribution ◽  
Electric Propulsion ◽  
Storage System ◽  
Energy Storage System ◽  
Storage Device ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Hybrid Energy ◽  
Hybrid Energy Storage

To solve the problem of severe DC bus voltage fluctuations caused by frequent changes in the distributed electric propulsion aircraft load, and to further optimize the size and life of the hybrid energy storage system (HESS), this paper proposes a method based on three-step power distribution (TSPD). This strategy realizes the reasonable distribution of battery and supercapacitor power by using a low pass filter. Through the introduction of a supercapacitor state-of-charge (SOC) automatic recovery control and maximum power value dynamic limit strategy, the size of the HESS is optimized, and the service life of the energy storage device is extended. Finally, simulation and experiment platform are built to prove the effectiveness of the proposed strategy.

scholarly journals Power Distribution Strategy for an Electric Bus with a Hybrid Energy Storage System

2021 ◽  
Vol 12 (3) ◽  
pp. 154
Author(s):  
Yu Zhang ◽  
Kai Li ◽  
Shumei Cui ◽  
Yutian Sun
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Power Distribution ◽  
Storage System ◽  
Energy Storage System ◽  
Utilization Rate ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Power Battery ◽  
Electric Bus

To address the power distribution problem that occurs in hybrid energy storage systems (HESSs) in electric vehicles, a fuzzy control distribution method is proposed in this paper, taking the vehicle demand power; supercapacitor power, PSC;; and lithium battery power, Pbat, as the inputs and the power distribution factor of the supercapacitor as the output to control the power distribution of the composite energy storage system, in addition to dividing the whole working condition into three time scales, namely, long, medium and short. In this study, we conducted a comprehensive analysis and comparison with typical control methods regarding the energy storage element output power, battery state of charge (SOC) change, energy flow diagram and power frequency. The simulation experiment results show that the proposed strategy is more effective in reducing the peak output power of the power battery, improving the effective power utilization rate of HESS and the effective energy utilization rate. In order to further verify the effectiveness of the control strategy, a pure electric bus power system test bench was built based on similar principles, and a representative time period under the driving conditions of the China city bus (CHTC-B) was selected, involving an acceleration process from 30 to 48 s (process 1), a uniform speed process from 636 to 671 s (process 2) and a regenerative braking process from 1290 to 1304 s (process 3), further verifying the effectiveness and feasibility of the proposed control strategy.

scholarly journals Control of the Distributed Hybrid Energy Storage System Considering the Equivalent SOC

2021 ◽  
Vol 9 ◽  
Author(s):  
Wei Jiang ◽  
Zhiqi Xu ◽  
Bin Yu ◽  
Ke Sun ◽  
Kai Ren ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power Distribution ◽  
Storage System ◽  
Energy Storage System ◽  
Total Power ◽  
Maximum Output ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Remaining Capacity

A hybrid energy storage system (HESS) consists of two or more types of energy storage components and the power electronics circuit to connect them. Therefore, the real-time capacity of this system highly depends on the state of the system and cannot be simply evaluated with traditional battery models. To tackle this challenge, an equivalent state of charge (ESOC) which reflects the remaining capacity of a HESS unit in a specific operation mode, is proposed in this paper. Furthermore, the proposed ESOC is applied to the control of the distributed HESS which contains several units with their own local targets. To optimally distribute the overall power target among these units, a sparse communication network-based hierarchical control framework is proposed. This framework considers the distributed control and optimal power distribution in the HESS from two aspects - the power output capability and the ESOC balance. Based on the primary droop control, the total power is allocated according to the maximum output capacity of each unit, and the secondary control is used to adjust the power from the perspective of ESOC balance. Therefore, each energy storage unit can be controlled to meet the local power demand of the microgrid. Simulation results based on MATLAB/Simulink verify the effectiveness of the application of the proposed equivalent SOC.

scholarly journals Power Distribution Control Framework for Renewable Energy Architecture with Battery-Supercapacitor Based Hybrid Energy Storage Systems

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8312
Author(s):  
Weiyue Huo ◽  
Jihong Zhu ◽  
Jing Zhou
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power Distribution ◽  
Storage System ◽  
Energy Storage System ◽  
Power Fluctuation ◽  
Efficient Operation ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System

Due to the intermittence and randomness of the renewable energy, hybrid energy storage system is widely adopted to suppress the power fluctuation. Power distribution is crucial for the robust and efficient operation of hybrid energy system. This paper proposes an innovative framework for hybrid energy storage system power distribution combining main circuit topology, modulation method and power distribution strategy. Firstly, hybrid modulation strategy to realize power distribution in a single-phase inverter is introduced. Then, power load prediction and low frequency filter are utilized to generate references for power distribution. Finally, the simulation model is established to test the framework and the result demonstrates the superiority of the proposed framework. The mean absolute percent error of the proposed SSA-LSTM mdoel is 0.0955 and the prediciton error by 40% compared with conventional LSTM model. Additionally, the energy management framework can adjust the port power distribution ratio flexibily to significantly suppress the power fluctuation of the grid and the operation cost of the hybrid energy storage system by reducing the charge and discharge cycle of the battery.

Research on Optimal Control in Hybrid Energy Storage Systems

2013 ◽  
Vol 392 ◽  
pp. 568-571
Author(s):  
Yun Lu ◽  
Yong Lai Zhao
Keyword(s):  
Energy Storage ◽  
Pid Control ◽  
Control Method ◽  
Storage System ◽  
Energy Storage System ◽  
Storage Device ◽  
Current Loop ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Fuzzy Adaptive

The control strategy of energy storage system will have a direct impact on their economic performance and technical performance. Based on the complementary functional for the Super-capacitors and Batteries composed of hybrid energy storage system . Established energy storage system mathematical model by the state average method, which uses fuzzy adaptive PID and conventional PID control method to control and simulation the output power of energy storage device, voltage loop and current loop of the energy storage system, and comparative analysis it. The results show that fuzzy adaptive PID control system has a better dynamic response performance and stability.

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