IEEE Access (Jan 2017)
Energy Control Strategy of HEB Based on the Instantaneous Optimization Algorithm
Abstract
In order to solve the problems of high gas consumption and low battery power in hybrid electric buses, the logic threshold control strategy is optimized by the key technology research of driving conditions, control strategy, and so on. First, driving condition data of hybrid electric buses are collected and analyzed, and three typical working conditions are selected. Second, the torque distribution control strategy is investigated based on the instantaneous optimization algorithm. The objective function of the instantaneous equivalent fuel consumption is derived. The process of solving the objective function is attributed to linear programming problem of the nonlinear objective function. The SIMULINK model of instantaneous torque distribution strategy is established based on equivalent fuel consumption. On this basis, the SIMULINK model of the function which can be integrated into the vehicle control model is established. Then, considering the actual driving conditions of the bus, the vehicle control strategy model is established in the MATLAB/SIMULINK environment, and the vehicle model established by the cruise software. Finally, the vehicle model is simulated under three representative working conditions. The main contribution of this paper is the optimized torque distribution control strategy to control hybrid electric bus's energy distribution and reduce emissions. The strategy can be obtained by combining the logic threshold torque distribution control strategy, along with the optimal engine torque and motor torque, which can be obtained by solving the objective function of instantaneous equivalent fuel consumption. Results show that compared with the logic threshold value torque distribution control strategy, the energy control strategy of the instantaneous optimization algorithm can further reduce gas consumption and maintain the state of charge value balance of the power battery.
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