Published August 1, 2019 | Version v1
Journal article

Wavelet-transform Algorithm Application in Hybrid Power System Optimization of Electric Vehicles

  • 1. School of Transportation Science and Engineering, Beihang University, 37 Xueyuan Road, Beijing 100191 (China)

Description

In order to reduce the changing times of battery's output power loads and currents, a novel energy management strategy was developed for hybrid power system including a battery pack and an ultracapacitor (UC) pack. The strategy is utilizing wavelet-transform algorithm to allocate power components with different frequency contents among the on-board energy sources. The models of hybrid power system were developed and simulated in MATLAB/Simulink. Simulation results show that: Compared with the logic threshold strategy, the wavelet control method can avoid battery to receive chaotic high-frequency components more effectively. Meantime, the utilization of ultra-capacitor can be improved. Thus battery can be protected and the efficiency of electric vehicles can be increased. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/1302/4/042054

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
1302
Journal Issue
4
Journal Page Range
[7 p.]
ISSN
1742-6596

Conference

Title
4. Annual International Conference on Information System and Artificial Intelligence
Dates
17-18 May 2019
Place
Hunan (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53045274
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; CAPACITORS; COMPUTERIZED SIMULATION; ELECTRIC-POWERED VEHICLES; ENERGY SOURCES; OPTIMIZATION; POWER SYSTEMS
Descriptors DEC
ELECTRICAL EQUIPMENT; ENERGY SYSTEMS; EQUIPMENT; MATHEMATICAL LOGIC; SIMULATION; VEHICLES