scholarly journals Investigation of Control Model in a New Series Hybrid Hydraulic/Electric System for Heavy Vehicles Based on Energy Efficiency

2016 ◽  
Vol 2016 ◽  
pp. 1-9
Author(s):  
Soroosh Mahmoodi ◽  
Hu Guoqing ◽  
Mehrdad Nouri Khajavi

An interesting model which was able to recuperate and reuse braking energy was investigated. It was named series hybrid hydraulic/electric system (SHHES). The innovated model was presented for heavy hybrid vehicles to overcome the existing drawbacks of single energy storage sources. The novelty of this paper was investigation of a new series hybrid vehicle with triple sources, combustion engine, electric motor, and hydraulic sources. It was simulated with MATLAB-Simulink and different operational mode of control system was investigated. The aim was to improve the efficiency of the energy-loading components in the power train system and the transmission system independently. The ability to store and reuse the kinetic energy was added to the system to prevent energy wasting while the vehicle was braking. Control models were also investigated to realize suitable control algorithms to offer the best efficiency in system components for different vehicle conditions. The torque control strategy based on fuzzy logic controller was proposed to achieve better vehicle performance while the fuel consumption was minimized. The results implied efficient storage and usage in the transmission system. A small vehicle model experimentally verified the simulation results.

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Zhumu Fu ◽  
Aiyun Gao ◽  
Xiaohong Wang ◽  
Xiaona Song

This paper presents a torque split strategy for parallel hybrid electric vehicles with an integrated starter generator (ISG-PHEV) by using fuzzy logic control. By combining the efficiency map and the optimum torque curve of the internal combustion engine (ICE) with the state of charge (SOC) of the batteries, the torque split strategy is designed, which manages the ICE within its peak efficiency region. Taking the quantified ICE torque, the quantified SOC of the batteries, and the quantified ICE speed as inputs, and regarding the output torque demanded on the ICE as an output, a fuzzy logic controller (FLC) with relevant fuzzy rules has been developed to determine the optimal torque distribution among the ICE, the ISG, and the electric motor/generator (EMG) effectively. The simulation results reveal that, compared with the conventional torque control strategy which uses rule-based controller (RBC) in different driving cycles, the proposed FLC improves the fuel economy of the ISG-PHEV, increases the efficiency of the ICE, and maintains batteries SOC within its operation range more availably.


2013 ◽  
Vol 310 ◽  
pp. 236-239 ◽  
Author(s):  
Zhi Chao Zhou ◽  
Xiao Ling Chen ◽  
Yuan Zou

According to the power performance index of the bulldozer, the matching calculation of electric drive tracked bulldozer transmission system is put forward, including AC induction motor, reduction ratios between motors and sprockets, engine-generator. Combined with the slip rate simulation of the special operation cycle conditions of bulldozer eletromechanical transmission system based on Matlab/Simulink is performed. Simulation results show that the dynamic characteristic satisfy the requirements of the job performance of the bulldozer. The matching calculation of the eletromechanical transmission system for bulldozer proved itself to be effective and feasible.


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