Development of a solar-powered electric bicycle in bike sharing transportation system

3rd International Conference of Planning in the Era of Uncertainty

Adhisuwignjo, S.^1 ; Siradjuddin, I.^1 ; Rifa'I, M.^1 ; Putri, R.I.^1

Electrical Engineering, State Politechnic of Malang, Malang, Indonesia^1

关键词: Automobile exhaust emissions;    Clean technologies;    Design and implements;    Experimental methods;    Fuzzy logic algorithms;    Fuzzy logic controllers;    Traffic conditions;    Transportation system;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/70/1/012025/pdf
DOI  :  10.1088/1755-1315/70/1/012025

来源: IOP

【 摘 要 】

The increasing mobility has directly led to deteriorating traffic conditions, extra fuel consumption, increasing automobile exhaust emissions, air pollution and lowering quality of life. Apart from being clean, cheap and equitable mode of transport for short-distance journeys, cycling can potentially offer solutions to the problem of urban mobility. Many cities have tried promoting cycling particularly through the implementation of bike-sharing. Apparently the fourth generation bikesharing system has been promoted utilizing electric bicycles which considered as a clean technology implementation. Utilization of solar power is probably the development keys in the fourth generation bikesharing system and will become the standard in bikesharing system in the future. Electric bikes use batteries as a source of energy, thus they require a battery charger system which powered from the solar cells energy. This research aims to design and implement electric bicycle battery charging system with solar energy sources using fuzzy logic algorithm. It is necessary to develop an electric bicycle battery charging system with solar energy sources using fuzzy logic algorithm. The study was conducted by means of experimental method which includes the design, manufacture and testing controller systems. The designed fuzzy algorithm have been planted in EEPROM microcontroller ATmega8535. The charging current was set at 1.2 Amperes and the full charged battery voltage was observed to be 40 Volts. The results showed a fuzzy logic controller was able to maintain the charging current of 1.2 Ampere with an error rate of less than 5% around the set point. The process of charging electric bike lead acid batteries from empty to fully charged was 5 hours. In conclusion, the development of solar-powered electric bicycle controlled using fuzzy logic controller can keep the battery charging current in solar-powered electric bicycle to remain stable. This shows that the fuzzy algorithm can be used as a controller in the process of charging for a solar electric bicycle.