The Research On Eco-driving Algorithm Model Based On Driving Behavior

With the rapid development of economy and improvement of living standard, the domestic car market has been promoted vigorously. Car ownership is also surging year by year. On the one hand it car can bring convenience in our daily life, but on the other hand it brings serious environmental pollution. Therefore reducing vehicle emissions is becoming a problem to be solved immediately. Numerous studies show that through improving the driver’s behavior to make it possible to eco-driving can reduce the environmental pollution which caused by cars and save energy. So the research that on ECO-Driving algorithm model based on driving behavior has important practical significance. Domestic research on eco-driving algorithm model is relatively scarce. The technical problem that through eco-driving to reduce hazard rating and help the driver develop good driving habits is still not solved.Foreign advanced assistive technology of automotive fuel-efficient is too specialized for domestic drivers to help them improve driving habits timely and effectively. Coupled with road conditions at home and abroad have different characteristics, thus we need to optimize the operating conditions of the vehicle to make it more suitable for domestic road conditions firstly. Through detailed mathematical model of vehicle fuel economy, based on the relationship between variables, then analyze the influencing factors of vehicle fuel consumption and the relationship between driving behavior and influencing factors, then establish the eco-driving behavior model. According to the difference of vehicle operation, it is subdivided into seven driving conditions: 1, accelerating mode; 2, idling mode; 3, shifting mode; 4, high speed mode; 5, steady speed mode; 6, parking brake mode; 7, coasting brake mode. Based on the identification of the operation of the vehicle, combined with the priority of the seven operation conditions, a set of the identification algorithm between modes has been established. Finally through optimize the limit standard of the each condition, set up an evaluation system of corresponding driving behavior and integrated into algorithm model of eco-driving. Using software simulation, input known variables parameters, the actual output values were compared with the theoretical value, then the correctness of the algorithm and the reliability of the model has been verified. Through a simulated road test bench to test the fuel-efficient controller. The experimental results showed that the exact output of the controller is the result of speed evaluated, whose theoretical value is 90%. The result showed that the driver’s current driving behavior effectively and achieved certain effect of saving energy.Through the algorithm model of evaluating eco-driving behavior, the driver can not only know whether their current operations in favor of eco-driving timely, but also can develop good driving habits. The establishment of the evaluation model of green fuel-efficient has laid a good foundation for the further research work.