Research on Parameter Matching and Fuzzy Logic Control Strategies of EMT Hybrid Energy Storage System

2012 ◽  
pp. 911-921
Author(s):  
Changle Xiang ◽  
Yanzi Wang ◽  
Weida Wang ◽  
Lijin Han ◽  
Donghao Zhang
Keyword(s):  
Fuzzy Logic ◽  
Energy Storage ◽  
Control Strategies ◽  
Storage System ◽  
Energy Storage System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Logic Control ◽  
Parameter Matching

scholarly journals An Active Hybrid Energy Storage System Utilising a Fuzzy Logic Rule-Based Control Strategy

2020 ◽  
Vol 11 (2) ◽  
pp. 34
Author(s):  
Maarten J. van Jaarsveld ◽  
Rupert Gouws
Keyword(s):  
Fuzzy Logic ◽  
Energy Storage ◽  
Direct Current ◽  
Control Strategy ◽  
Storage System ◽  
Energy Storage System ◽  
Rule Based ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System

The research presented in this paper documents the implementation of an active hybrid energy storage system that combined a battery pack and an ultracapacitor bank. The implemented hybrid energy storage system was used to reduce the peak-power that the battery needs to provide to the load. An active topology utilising two direct current/direct current (DC/DC) converters and a switch was used to implement the hybrid energy storage system. Fuzzy logic was used as a close-loop control structure to control the DC/DC converters in the topology, whilst a rule-based control strategy was used to control the operating states of the hybrid energy storage system. Experimental implementation of the system showed that the system was able to actively control the energy flow throughout the hybrid energy storage system in order to limit the power drawn from the battery to a user-defined limit. The performance of the fuzzy logic controllers was also experimentally found to be sufficient when used in conjunction with the rule-based control strategy. The system allows one to utilize batteries that are optimized for energy density seeing that the system was able to actively limit the power drawn from the battery, whilst providing the required power to the load by utilising the ultracapacitor bank.

scholarly journals Parameter Matching Method of a Battery-Supercapacitor Hybrid Energy Storage System for Electric Vehicles

2021 ◽  
Vol 12 (4) ◽  
pp. 253
Author(s):  
Fengchen Liu ◽  
Chun Wang ◽  
Yunrong Luo
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Storage System ◽  
Energy Storage System ◽  
High Energy ◽  
Matching Method ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Parameter Matching

To satisfy the high-rate power demand fluctuations in the complicated driving cycle, electric vehicle (EV) energy storage systems should have both high power density and high energy density. In order to obtain better energy and power performances, a combination of battery and supercapacitor are utilized in this work to form a semi-active hybrid energy storage system (HESS). A parameter matching method of battery-supercapacitor HESS for electric vehicles (EVs) is proposed. This method can meet the performance indicators of EVs in terms of power and energy for parameter matching. The result shows that optimized parameter matching is obtained by reducing the weight and cost.

Sign in / Sign up

Export Citation Format

Share Document