Energy efficiency improvement of eddy-current braking and heating system for electric bus based on fuzzy control
Energy efficiency improvement of eddy-current braking and heating system for electric bus based on fuzzy control
- New search for: Ye, Lezhi
- New search for: Liang, Chen
- New search for: Li, Xiangli
- New search for: Li, Desheng
- New search for: Ye, Lezhi
- New search for: Liang, Chen
- New search for: Li, Xiangli
- New search for: Li, Desheng
Although the urban environment pollution is decreased by electric buses, the driving range is still a problem for the electric car. Especially, there is a dramatic decline in driving range while heating the electric bus cabin in winter. To solve this problem, the authors propose an eddy-current braking and heating system. The braking energy is converted to thermal energy directly by the electromagnetic method. The energy conversion efficiency of the system is higher than that of the regenerative braking system. A braking energy management control strategy based on fuzzy control is proposed. A dynamic programming algorithm is simulated and analysed by extracting the design parameters. In the MATLAB/Simulink environment, the authors build a simulation platform for calculating efficiency. Compared with the normal strategy, the proposed fuzzy braking strategy can improve 9.8% of the electricity consumption. The heating time of the bus cabin to reach 20°C by the proposed strategy is only 60 s, whereas it is 700 s by the normal strategy.
Document information
Energy efficiency improvement of eddy-current braking and heating system for electric bus based on fuzzy control
IET Electrical Systems in Transportation ; 10 , 4 ; 385-390
2020-11-13
6 pages
Article (Journal)
Electronic Resource
English
regenerative braking system , dynamic programming , electric bus cabin , eddy-current braking , urban environment pollution , thermal energy , energy management systems , braking energy management control , energy conservation , heating time , heating system , brakes , driving range , regenerative braking , energy conversion efficiency , time 700.0 s , time 60.0 s , road vehicles , electric car , electric vehicles , fuzzy braking strategy , electricity consumption , energy efficiency improvement , fuzzy control , temperature 20.0 degC
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