scholarly journals Robust Longitudinal Speed Control of Hybrid Electric Vehicles with a Two-Degree-of-Freedom Fuzzy Logic Controller

Energies ◽  
2016 ◽  
Vol 9 (4) ◽  
pp. 290 ◽  
Author(s):  
Jau-Woei Perng ◽  
Yi-Horng Lai
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicles ◽  
Fuzzy Logic Controller ◽  
Hybrid Electric Vehicles ◽  
Speed Control ◽  
Degree Of Freedom ◽  
Hybrid Electric ◽  
Two Degree Of Freedom

scholarly journals Torque Split Strategy for Parallel Hybrid Electric Vehicles with an Integrated Starter Generator

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Zhumu Fu ◽  
Aiyun Gao ◽  
Xiaohong Wang ◽  
Xiaona Song
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicles ◽  
Fuzzy Logic Controller ◽  
Hybrid Electric Vehicles ◽  
Combustion Engine ◽  
Torque Control ◽  
Torque Control Strategy ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Starter Generator

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.

scholarly journals Intelligent Control of Parallel Hybrid Electric Vehicles

1999 ◽  
Author(s):  
Bradley Glenn ◽  
Gregory Washington ◽  
Giorgio Rizzoni
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Fuzzy Logic Controller ◽  
Hybrid Electric Vehicles ◽  
Conventional Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Reduce Emissions

Abstract Currently Hybrid Electric Vehicles (HEV) are being considered as an alternative to conventional automobiles in order to improve efficiency and reduce emissions. To demonstrate the potential of an advanced control strategy for HEV’s, a fuzzy logic control strategy has been developed and implemented in simulation in the National Renewable Energy Laboratory’s simulator Advisor (version 2.0.2). The Fuzzy Logic Controller (FLC) utilizes the electric motor in a parallel hybrid electric vehicle (HEV) to force the ICE (66KW Volkswagen TDI) to operate at or near its peak point of efficiency or at or near its best fuel economy. Results with advisor show that the vehicle with the Fuzzy Logic Controller can achieve (56) mpg in the city, while maintaining a state of charge of .68 for the battery pack, compared to (43) mpg for a conventional vehicle. This scheme has also brought to light various rules of thumb for the design and operation of HEV’s.

scholarly journals Optimal Speed Control of Hybrid Electric Vehicles

2011 ◽  
Vol 11 (4) ◽  
pp. 393-400 ◽  
Author(s):  
Anil Kumar Yadav ◽  
Prerna Gaur ◽  
Shyama Kant Jha ◽  
J.R.P. Gupta ◽  
A.P. Mittal
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Speed Control ◽  
Optimal Speed ◽  
Hybrid Electric
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