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Design and research of hybrid power system based on road traffic condition recognition

For new energy vehicles, especially hybrid vehicles, a reasonable energy management system plays an important role in improving the fuel economy, driving performance and also reducing emissions of the vehicle. Before the realization of the vehicle telematics, traditional energy management methods can only rely on the operation of the powertrain components of the vehicle themselves to carry out coordinated controls among them. It does not consider traffic factors and actual road factors, therefore the result in the real world for different terrains and traffic conditions, the energy consumption is quite different. This paper takes urban buses as an example, calculates road traffic conditions via local vehicle information, cloud platform and big data, and then optimizes control parameters for powertrain components to achieve the better controls against engine start/stop, ratio of regenerative braking, and the total energy consumption. It ensures the efficiency of each powertrain component is optimal under any dedicated route, and at the same time achieves better energy saving and emission reduction of vehicle.