Abstract
Vehicle fuel consumption is greatly influenced by roadway gradients and the driver’s driving behavior. To explore the great energy-saving potential of optimizing driver behavior on hilly roads, a novel eco-driving algorithm is defined and formulated based on dynamic programming. The new dynamic programming–based eco-driving algorithm generates the optimal velocity trajectory using information on the roadway gradients, vehicle longitudinal dynamics, and vehicle transient fuel consumption characteristics. A newer and accurater instantaneous fuel consumption model is developed and used in the objective function to ensure fuel economy driving. To verify the performance of the proposed dynamic programming–based eco-driving algorithm, co-simulations of MATLAB/Simulink and CarSim on typical roads and a real road are conducted. A typical cruise control algorithm that consists of two proportional–integral controllers is used as a comparison group. The simulation results show that approximately 6.89%–24.78% of fuel...
Highlights
Fuel economy improvement has become an ecological and economic challenge for the whole world due to the increasing demand for fuel and the rising focus on environmental protection
The roadway gradient has a significant impact on vehicle fuel economy
The vehicle longitudinal dynamics are used to simulate the vehicle longitudinal motion; the instantaneous fuel consumption model can precisely predict the vehicle fuel consumption and will be used to calculate the object function values of the dynamic programming (DP)-based eco-driving algorithm; the roadway gradient information is provided by a three-dimensional (3D) digital map, which is not the main objective here
Summary
Fuel economy improvement has become an ecological and economic challenge for the whole world due to the increasing demand for fuel and the rising focus on environmental protection. The vehicle longitudinal dynamics are used to simulate the vehicle longitudinal motion; the instantaneous fuel consumption model can precisely predict the vehicle fuel consumption and will be used to calculate the object function values of the DP-based eco-driving algorithm; the roadway gradient information is provided by a three-dimensional (3D) digital map, which is not the main objective here. To better predict fuel consumption and help solve the DP-based eco-driving problem, a new instantaneous fuel consumption model called Beijing Institute of Technology Transient Fuel Consumption Model (BIT-TFCM) is developed based on dynamometer measurements. This new model is characterized by two sub-modules: a steady-state module whose inputs are the engine speed and torque and a transient correction module whose inputs are the vehicle speed and acceleration.
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