Research On Matching Relations Between Operation And Battery State Of Electric Bus

With the energy and the growing environmental crisis, energy conservation and emission reduction has become the main objective of the industry, but due to the limitations of the current level of technology, neither alternative clean fuel nor other new combustion mode such as homogeneous charge compression ignition, layered pressure fuel has many limitations. After the enforcing of zero emissions policy in California in 90s of last century, many countries in the world began to study the electric vehicle.The successful application of electric vehicles on 2008 Olympic Games indicated that the technology of electric vehicles has gradually matured. After the Olympics, all electric vehicles come into service in Beijing. The electric vehicles also serviced to the 2010 Shanghai World Expo and Asian Games in Guangzhou as the main means of transportation. As the application scale of electric vehicles becoming larger, the scheduling problem on electric bus is very urgent.Firstly, this thesis analyses the real-time monitoring data of the pure electric bus, such as driving range, charge and discharge time, the process of charging and discharging which summarize the operation feature of electric buses. According to the operating characteristics such as the driving range and the charging time restrictions, makes arrangements for the electric buses. Secondly, this thesis presents a dispatching model of pure electric buses, taking full account of the driving range and charging time constraints. The result of analysis which based on real data provides an idea with the dispatching of electric buses. Finally, this thesis makes an experiment by genetic algorithm based on the real operation of pure electric buses in Guangzhou. The result proves the applicability of the model.