Optimization and Simulation of Energy Control for Composite Energy Storage Loaders
In order to address the energy management problem of engineering vehicles in cluster operation,a study is conducted on the composite energy storage loader.A combined simulation using Recurdyn-Edem is employed to establish a continuous operation environment and acquire working condition data.Two objectives are considered:minimizing fuel consumption during both V cycle working condition and cluster operation of the loader's single-cycle working condition.A control strategy is designed by combining the Equivalent Consumption Minimization Strategy with rules.To further enhance the fuel economy in various working conditions,a Genetic Algorithm is utilized to optimize the key parameters for minimum equivalent fuel consumption.The optimized parameters are then applied to a vehicle model for simulation validation.The results indicate that the proposed control strategy improves fuel economy by 3.23％and 4.26％in V cycle working condition and cluster operation condition,respectively,compared to the Adaptive Neuro-Fuzzy Inference System.Furthermore,hardware-in-the-loop experiments conducted using dSPACE validate the effectiveness of the optimization results.
composite energy storageequivalent consumption minimization strategygenetic algorithmhardware-in-the-loop
万方数据
维普
