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Simulation and Analysis of Parallel Hybrid Electric Vehicle
2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC), 2021This paper presents modelling of the parallel hybrid electric drivetrain and its performance assessment. It is identified with the help of Simulink platform using MATLAB environment. The objective of the paper is to implement a control logic in order to improve the performance efficiency.
Shijna K, Anju. S. Pillai
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Development of a parallel hybrid electric vehicle
SAE Technical Paper Series, 2009<div class="htmlview paragraph">This paper describes the development of a prototype parallel hybrid electric vehicle (HEV). Parallel configuration of HEV is achieved through an epi-cyclic transmission. A single stage epi-cyclic transmission is designed, developed and integrated into a vehicle equipped with conventional manual transmission.
Ajay Kumar Gupta +2 more
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Control Strategies for Parallel Hybrid Electric Vehicles
IFAC Proceedings Volumes, 2004Abstract This paper presents the development and the implementation of energy management algorithms for the control of a parallel hybrid-electric sport-utility vehicle. Two strategies based on two different control techniques have been prototyped, simulated and analyzed.
Giorgio Rizzoni +2 more
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Parallel hybrid electric vehicle torque distribution method
Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301), 2002The paper deals with the supervisory control used in a Vehicle System Controller (VSC) of a Parallel Hybrid Electric Vehicle (PHEV). A description of the torque distribution algorithm that determines the prorated amount of torque demanded of each of the tractive devices to meet the driver's demand and the energy management scheme is given.
K.E. Bailey, S.R. Cikanek, N. Sureshbabu
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Optimal Control of Parallel Hybrid Electric Vehicles
IEEE Transactions on Control Systems Technology, 2004In this paper, a model-based strategy for the real-time load control of parallel hybrid vehicles is presented. The aim is to develop a fuel-optimal control which is not relying on the a priori knowledge of the future driving conditions (global optimal control), but only upon the current system operation.
A. Sciarretta, M. Back, L. Guzzella
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