Research on Driving Control Strategy and Fuzzy Logic Optimization of a Novel Mechatronics-Electro-Hydraulic Power Coupling Electric Vehicle

Energy ◽  
2021 ◽  
pp. 121221
Author(s):  
Jian Yang ◽  
Tiezhu Zhang ◽  
Jichao Hong ◽  
Hongxin Zhang ◽  
Qinghai Zhao ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Hydraulic Power ◽  
Power Coupling ◽  
Logic Optimization

scholarly journals Fuzzy logic-based energy management strategy for a novel mechatronics-electro-hydraulic power coupling electric vehicle

2021 ◽  
Author(s):  
Jian Yang ◽  
Tiezhu Zhang ◽  
Jichao Hong ◽  
Hongxin Zhang ◽  
Qinghai Zhao ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Electric Energy ◽  
Peak Torque ◽  
Optimization Method ◽  
Energy Utilization ◽  
Energy Management Strategy ◽  
Hydraulic Power ◽  
The Troubles ◽  
Power Coupling

Abstract In order to solve the troubles of electric peak torque and enhance the energy efficiency of electric vehicles, a novel mechatronics-electro-hydraulic power coupling electric vehicle (MEH-PCEV) with low energy consumption is proposed. The hydraulic system and the motor are integrated into a device to simplify the structure, taking the pure electric vehicle as a reference. Simultaneously, a fuzzy logic-based optimization method is proposed for real-time adjustment of the electric torque based on the original rule control strategy. Compared with the pure electric vehicle, the proposed methods can substantially enhance energy utilization and the recovery efficiency of electric energy. Ultimately, the actual driving cycle is analyzed using data acquisition capacity, with the authentic speed as the input signal. The verification results on real-world vehicles demonstrate the consumption rate of the battery state of charge and the electric torque are improved by 7.32% and reduced by 22.24%, respectively. Moreover, this research is expected to provide a reference for the development and engineering applications of the mechatronics-electro-hydraulic coupling systems.

Optimized Fuzzy Logic Control Strategy for Parallel Hybrid Electric Vehicle Based on Genetic Algorithm

2013 ◽  
Vol 274 ◽  
pp. 345-349 ◽  
Author(s):  
Mei Lan Zhou ◽  
Deng Ke Lu ◽  
Wei Min Li ◽  
Hui Feng Xu
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Fuzzy Logic Control ◽  
Hybrid Electric Vehicle ◽  
Fuzzy Rule ◽  
Rule Base ◽  
Membership Functions ◽  
Logic Control

For PHEV energy management, in this paper the author proposed an EMS is that based on the optimization of fuzzy logic control strategy. Because the membership functions of FLC and fuzzy rule base were obtained by the experience of experts or by designers through the experiment analysis, they could not make the FLC get the optimization results. Therefore, the author used genetic algorithm to optimize the membership functions of the FLC to further improve the vehicle performance. Finally, simulated and analyzed by using the electric vehicle software ADVISOR, the results indicated that the proposed strategy could easily control the engine and motor, ensured the balance between battery charge and discharge and as compared with electric assist control strategy, fuel consumption and exhaust emissions have also been reduced to less than 43.84%.

Fuzzy Logic Control Strategy for an Extended-Range Electric Vehicle

2012 ◽  
Vol 220-223 ◽  
pp. 968-972 ◽  
Author(s):  
Ji Gao Niu ◽  
Su Zhou
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Fuzzy Logic Control ◽  
High Efficiency ◽  
Control Strategies ◽  
Vehicle Performance ◽  
Logic Control ◽  
Extended Range ◽  
Avl Cruise

This paper presents a Fuzzy Logic Control Strategy (FLCS) for an Extended-range Electric Vehicle (E-REV) with series structure. The control strategy design objective of the E-REV is fuel economy. Based on the State of Charge (SOC) of the battery and the desired power for driving, the power required by the vehicle is split between the engine/generator set and the battery by the FLCS. The engine can be operated consistently in a very high efficiency area and the SOC of the battery can be maintained at a reasonable level. Some standard driving cycles and two control strategies of Power Follower Control Strategy (PFCS) and FLCS were simulated with AVL-Cruise and Matlab/Simulink to analyze the vehicle performance. Some simulation results are compared and discussed: the FLCS indicates better performance in terms of fuel consumption.

scholarly journals Fuzzy Logic Optimization of Composite Brake Control Strategy for Load-Isolated Electric Bus

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yafei Xin ◽  
Tiezhu Zhang ◽  
Hongxin Zhang ◽  
Qinghai Zhao ◽  
Jian Zheng ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Control Strategy ◽  
Recovery Rate ◽  
Energy Recovery ◽  
Fuzzy Controller ◽  
Vehicle Simulation ◽  
Logic Optimization ◽  
Electric Bus ◽  
Driving Range ◽  
Avl Cruise

To improve the energy recovery rate and increase the driving range of load-isolated electric buses, a composite brake control strategy based on fuzzy logic optimization is proposed. Considering the influence of the battery SOC value and the braking intensity on the braking ratio, a fuzzy controller is designed for small and medium braking strengths to optimize the control strategy. The vehicle simulation model of the load-isolated electric bus was built with the AVL CRUISE software platform. The AVL CRUISE-Simulink cosimulation was carried out under the original control strategy and the optimized control strategy. The simulation results show that, under the premise of ensuring the stability of braking, the driving range of the vehicle with the optimized control strategy is increased by 7.74% and the energy recovery rate is increased by 11.05%.

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