scholarly journals Equivalent Circuit Model Construction and Dynamic Flow Optimization Based on Zinc–Nickel Single-Flow Battery

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 582 ◽  
Author(s):  
Shouguang Yao ◽  
Xiaofei Sun ◽  
Min Xiao ◽  
Jie Cheng ◽  
Yaju Shen
Keyword(s):  
Genetic Algorithm ◽  
Simulation Model ◽  
Flow Rate ◽  
System Performance ◽  
State Of Charge ◽  
Electrolyte Flow ◽  
Experimental Values ◽  
Single Flow ◽  
Zinc Nickel ◽  
Charge Discharge

Based on the zinc–nickel single-flow battery, a generalized electrical simulation model considering the effects of flow rate, self-discharge, and pump power loss is proposed. The results compared with the experiment show that the simulation results considering the effect of self-discharge are closer to the experimental values, and the error range of voltage estimation during charging and discharging is between 0% and 3.85%. In addition, under the rated electrolyte flow rate and different charge–discharge currents, the estimation of Coulomb efficiency by the simulation model is in good agreement with the experimental values. Electrolyte flow rate is one of the parameters that have a great influence on system performance. Designing a suitable flow controller is an effective means to improve system performance. In this paper, the genetic algorithm and the theoretical minimum flow multiplied by different flow factors are used to optimize the variable electrolyte flow rate under dynamic SOC (state of charge). The comparative analysis results show that the flow factor optimization method is a simple means under constant charge–discharge power, while genetic algorithm has better performance in optimizing flow rate under varying (dis-)charge power and state of charge condition in practical engineering.

Modeling of Single Flow Zinc-Nickel Battery for System Efficiency Improvement

2014 ◽  
Vol 716-717 ◽  
pp. 94-97
Author(s):  
Yan Xue Li ◽  
Ming Chui Dong ◽  
Peng Cheng Zhao ◽  
Ying Duo Han
Keyword(s):  
Pump Power ◽  
Flow Rate ◽  
The Novel ◽  
System Efficiency ◽  
Electrolyte Flow ◽  
Battery System ◽  
Operating Modes ◽  
Power Part ◽  
Single Flow ◽  
Zinc Nickel

In operating of a flow battery, a certain flow rate should be maintained in order to guarantee its performance. But the pump consumed power may cause significant losses for the overall battery system. In this paper, a fresh electrical model is proposed for the novel single flow zinc-nickel battery. The model consists of both battery stack part and pump power part, which consequently not only predicts accurately the battery electrical output, but also estimates the pump consumed power at different electrolyte flow rate. Based on the validated model, the influence of pump power on flow battery’s system efficiency can be evaluated at different operating modes. At last, possible means to further improve the system efficiency of battery is discussed.

The influence of zinc electrode substrate, electrolyte flow rate and current density on zinc-nickel flow cell performance

2021 ◽  
Vol 373 ◽  
pp. 137890
Author(s):  
David P. Trudgeon ◽  
Adeline Loh ◽  
Habib Ullah ◽  
Xiaohong Li ◽  
Vladimir Yufit ◽  
...  
Keyword(s):  
Flow Rate ◽  
Current Density ◽  
Flow Cell ◽  
Cell Performance ◽  
Zinc Electrode ◽  
Electrolyte Flow ◽  
Zinc Nickel

Experimental study on charge/discharge characteristics of zinc-nickel single-flow battery

2017 ◽  
Vol 9 (5) ◽  
pp. 054102 ◽  
Author(s):  
Min Xiao ◽  
Peng Liao ◽  
Shouguang Yao ◽  
Jie Cheng ◽  
Wenwen Cai
Keyword(s):  
Experimental Study ◽  
Flow Battery ◽  
Discharge Characteristics ◽  
Single Flow ◽  
Zinc Nickel ◽  
Charge Discharge

Tab Design Based on the Internal Distributed Properties in a Zinc–Nickel Single-Flow Battery

2021 ◽  
Vol 60 (3) ◽  
pp. 1434-1451
Author(s):  
Rui Zhou ◽  
Shouguang Yao ◽  
Yunhui Zhao ◽  
Jie Cheng
Keyword(s):  
Flow Battery ◽  
Single Flow ◽  
Zinc Nickel

scholarly journals The Use of a Simulation Model for High-Runner Strategy Implementation in Warehouse Logistics

2020 ◽  
Vol 12 (23) ◽  
pp. 9818
Author(s):  
Gabriel Fedorko ◽  
Vieroslav Molnár ◽  
Nikoleta Mikušová
Keyword(s):  
Genetic Algorithm ◽  
Simulation Model ◽  
Optimization Problem ◽  
Software Tool ◽  
Time Saving ◽  
General Validity ◽  
Resistance Function ◽  
Genetic Algorithm Method ◽  
Working Day ◽  
Enterprise Logistics

This paper examines the use of computer simulation methods to streamline the process of picking materials within warehouse logistics. The article describes the use of a genetic algorithm to optimize the storage of materials in shelving positions, in accordance with the method of High-Runner Strategy. The goal is to minimize the time needed for picking. The presented procedure enables the creation of a software tool in the form of an optimization model that can be used for the needs of the optimization of warehouse logistics processes within various types of production processes. There is a defined optimization problem in the form of a resistance function, which is of general validity. The optimization is represented using the example of 400 types of material items in 34 categories, stored in six rack rows. Using a simulation model, a comparison of a normal and an optimized state is realized, while a time saving of 48 min 36 s is achieved. The mentioned saving was achieved within one working day. However, the application of an approach based on the use of optimization using a genetic algorithm is not limited by the number of material items or the number of categories and shelves. The acquired knowledge demonstrates the application possibilities of the genetic algorithm method, even for the lowest levels of enterprise logistics, where the application of this approach is not yet a matter of course but, rather, a rarity.

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