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/10.1088/1742-6596/1302/4/042054Additional details
Identifiers
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