The Simulation Study of Pure Electric Vehicle with Dual-Energy Storage System Based on Matlab/Simulink

2013 ◽  
Vol 437 ◽  
pp. 213-216
Author(s):  
Shuang Du ◽  
Chun Cheng Zuo
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Storage System ◽  
Simulation Models ◽  
Energy Storage System ◽  
Dual Energy ◽  
Matlab Simulink ◽  
Fuzzy Control Strategy ◽  
Ultra Capacitor

Through matlab/simulink, the simulation models of Pure Electric Vehicle (PEV) with Dual-Energy Storage System (DESS) composed of batteries and ultra-capacitor are established. The paper designs the fuzzy control strategy for DESS and puts PEV with DESS and PEV with Single-Energy Storage System (SESS) state of capacity (SOC) of batteries comparison. Also it analyses advantages and prospects of development for PEV with DESS.

Fuzzy Control Based Study on Energy Management System of Electric Vehicle with Dual-Energy Storage System

2014 ◽  
Vol 898 ◽  
pp. 896-899
Author(s):  
Zhi Yu Huang ◽  
Xiao Hua Pu
Keyword(s):  
Energy Storage ◽  
Fuzzy Control ◽  
Electric Vehicle ◽  
Energy Management ◽  
Control Strategy ◽  
Storage System ◽  
Energy Storage System ◽  
Dual Energy ◽  
Energy Management System ◽  
Fuzzy Control Strategy

Regarding to the electric vehicle (EV) with dual-energy storage system (DESS) composed of batteries and ultra-capacitors, study on the structure and drive modes of DESS, after a detailed analysis of energy storage system based on power, resistance and constraints in driving, establish a mathematical model of energy management system of EV with DESS, and an energy management based on the fuzzy control strategy is designed. Finally, a simulation of EV with DESS by using ADVISOR simulation platform is studied, whose results show that the EV with DESS based on fuzzy control strategy can be more effective in distributing power between energy storage systems, and the dynamic performance as well as economic efficiency are also improved

scholarly journals Optimization of Hybrid Energy Storage System Control Strategy for Pure Electric Vehicle Based on Typical Driving Cycle

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Kanglong Ye ◽  
Peiqing Li ◽  
Hao Li
Keyword(s):  
Energy Consumption ◽  
Energy Storage ◽  
Fuzzy Control ◽  
Control Strategy ◽  
Storage System ◽  
Energy Storage System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Fuzzy Control Strategy

Taking a hybrid energy storage system (HESS) composed of a battery and an ultracapacitor as the study object, this paper studies the energy management strategy (EMS) and optimization method of the hybrid energy storage system in the energy management and control strategy of a pure electric vehicle (EV) for typical driving cycles. The structure and component model of the HESS are constructed. According to the fuzzy control strategy, aimed at the roughness of the membership function in EMS, optimization strategies based on a genetic algorithm (GA) and particle swarm optimization (PSO) are proposed; these use energy consumption as their optimal objective function. Based on the improved EV model, the fuzzy control strategy is studied in MATLAB/Advisor, and two control strategies are obtained. Compared with the simulation results based on three driving cycles, urban dynamometer driving schedule (UDDS), new European driving cycle (NEDC), and ChinaCity, the optimum control strategy were obtained. The theoretical minimum energy consumption of HESS was reached by dynamic programming (DP) algorithm in the same simulation environment. The research shows that, compared with the PSO, the output current peak and current fluctuation of the battery optimized by the GA are lower and more stable, and the total energy consumption is reduced by 3–9% in various simulation case studies. Compared with the theoretical minimum value, the deviation of energy consumption simulated by GA-Fuzzy Control is 0.6%.

Nonlinear Proportional Factor Control Strategy of Hybrid Energy Storage System for Hybrid Electric Vehicle

2013 ◽  
Vol 448-453 ◽  
pp. 3158-3163
Author(s):  
Hai Fang Yu ◽  
Zhi Qiang Liu ◽  
Shu Mei Cui
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Storage System ◽  
Energy Storage System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Hybrid Electric

It has been shown that none of any energy sources which own high specific energy or high specific power, but not both, can solely fulfil all the demands of hybrid electric vehicle (HEV) in some circumstances. In this paper a battery/ultra-capacitor hybrid energy storage system (B/UC HESS) using ultracapacitors which replace primary sole Ni-MH energy source, without any changes in other parts of HEV was presented. Based on the energy flow of energy storage system and operating status of the vehicle, a nonlinear proportional factor control strategy with a goal of improving battery life was introduced. The simulation results under different urban driving cycles show that the peak charge/discharge currents are smoothed effectively, which benefits the battery lifetime improvement. The results also show that the buffering effect of ultracapacitors has optimized the charging and discharging processes of Ni-MH battery considerably.

scholarly journals Modelling, design and control of a light electric vehicle with hybrid energy storage system for Indian driving cycle

2019 ◽  
Vol 52 (9-10) ◽  
pp. 1420-1433
Author(s):  
S Devi Vidhya ◽  
M Balaji
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Storage System ◽  
Energy Storage System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Power Split ◽  
Li Ion

This paper presents the modelling, design and power management of a hybrid energy storage system for a three-wheeled light electric vehicle under Indian driving conditions. The hybrid energy storage system described in this paper is characterized by effective coupling of Li-ion battery (primary energy source) and ultracapacitor (auxiliary source) interfaced with an efficient bi-directional converter. A design methodology related to vehicle modelling, choice of motor rating, converter design, sizing of Li-ion battery and ultracapacitor pack for the Indian driving cycle are presented. An improved real-time power-split management control strategy is proposed for proper power flow control of the hybrid energy storage system under various operating modes. The hybridized energy storage system with proposed control strategy improves the life of the battery and helps in effective utilization of the ultracapacitor. Furthermore, a relative comparison of the hybrid energy storage system with the battery energy storage system based on battery parameters and capital cost is also presented. Simulations are carried out in MATLAB/Simulink environment to verify the effectiveness of the proposed control strategy with modelled system components of three-wheeled light electric vehicle. A downscaled experimental prototype is built to validate the power-split between hybrid energy storage systems.

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