Mode Analysis of Power-Split Hybrid Electric Vehicle

2013 ◽  
Vol 791-793 ◽  
pp. 1807-1810
Author(s):  
Qing Nian Wang ◽  
Wen Wang ◽  
Peng Yu Wang ◽  
Feng Li
Keyword(s):  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Maximum Output Power ◽  
Planetary Gear ◽  
Mode Analysis ◽  
Regenerative Braking ◽  
Maximum Output ◽  
Vehicle Speed ◽  
Power Mode ◽  
Hybrid Electric

EVT transmission in Planetary Gear Hybrid Electric Vehicles makes it available that the engine works on the optimal curves; yet because of the speed limitation of motor MG1, the maximum output power of the engine is a function of vehicle speed. The maximum traction and regenerative braking power is also a function of vehicle speed. Based on this, the vehicle drive modes consist of EV mode, economy mode and power mode, and braking modes include the regenerative braking mode and electromechanical braking mode.

Hardware-in-the-loop simulation of regenerative braking for a hybrid electric vehicle

2002 ◽  
Vol 216 (11) ◽  
pp. 855-864 ◽  
Author(s):  
H Yeo ◽  
H Kim
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
Continuous Variable ◽  
State Of Charge ◽  
Regenerative Braking ◽  
Vehicle Speed ◽  
Hardware In The Loop ◽  
Battery State Of Charge ◽  
Hybrid Electric

A regenerative braking algorithm and a hydraulic module are proposed for a parallel hybrid electric vehicle (HEV) equipped with a continuous variable transmission (CVT). The regenerative algorithm is developed by considering the battery state of charge, vehicle velocity and motor capacity. The hydraulic module consists of a reducing valve and a power unit to supply the front wheel brake pressure according to the control algorithm. In addition, a stroke simulator is designed to provide a similar pedal operation feeling. In order to evaluate the performance of the regenerative braking algorithm and the hydraulic module, a hardware-in-the-loop simulation (HILS) is performed. In the HILS system, the brake system consists of four wheel brakes and the hydraulic module. Dynamic characteristics of the HEV are simulated using an HEV simulator. In the HEV simulator, each element of the HEV powertrain such as internal combustion engine, motor, battery and CVT is modelled using MATLAB SIMULINK. In the HILS, a driver operates the brake pedal with his or her foot while the vehicle speed is displayed on the monitor in real time. It is found from the HILS that the regenerative braking algorithm and the hydraulic module suggested in this paper provide a satisfactory braking performance in tracking the driving schedule and maintaining the battery state of charge.

Eco-Trajectory Planning with Consideration of Queue along Congested Corridor for Hybrid Electric Vehicles

2019 ◽  
Vol 2673 (9) ◽  
pp. 277-286 ◽  
Author(s):  
Zhen Yang ◽  
Yiheng Feng ◽  
Xun Gong ◽  
Ding Zhao ◽  
Jing Sun
Keyword(s):  
Fuel Consumption ◽  
Electric Vehicles ◽  
Trajectory Planning ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Urban Traffic ◽  
Vehicle Speed ◽  
Speed Profile ◽  
Driving Model ◽  
Hybrid Electric

At signalized intersections, vehicle speed profile plays a vital role in determining fuel consumption and emissions. With advances of connected and automated vehicle technology, vehicles are able to receive predicted traffic information from the infrastructure in real-time to plan their trajectories in a fuel-efficient way. In this paper, an eco-driving model is developed for hybrid electric vehicles in a congested urban traffic environment. The vehicle queuing process is explicitly modeled by the shockwave profile model with consideration of vehicle deceleration and acceleration to provide a green window for eco-vehicle trajectory planning. A trigonometric speed profile is applied to minimize fuel consumption and maximize driving comfort with a low jerk. A hybrid electric vehicle fuel consumption model is built and calibrated with real vehicle data to evaluate the energy benefit of the eco-vehicles. Simulation results from a real-world corridor of six intersections show that the proposed eco-driving model can significantly reduce energy consumption by 8.7% on average and by 23.5% at maximum, without sacrificing mobility.

scholarly journals Modeling and active control of power-split hybrid electric vehicle launch vibration

2018 ◽  
Vol 38 (2) ◽  
pp. 592-607 ◽  
Author(s):  
Rong Guo ◽  
Hao Chen ◽  
Meng-Jia Wang
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Planetary Gear ◽  
System Response ◽  
Control Effect ◽  
Wave Superposition ◽  
Power Split ◽  
Hybrid Electric

One of the key challenges with the development of hybrid electric vehicles is the noise, vibration, and harsh behavior, specifically the uncomfortable ride experience during launch. This paper focuses on the driveline vibration caused by the quick response of the traction motor in the launch condition of hybrid electric vehicles. A torsional vibration differential equation for frequency analysis, including a Ravigneaux planetary gear set, a reducer, a differential, half shafts, and wheels, is thus built. Based on the equation, many components of the power-split system are simplified to make the controller design easy. Finally, wave superposition control strategy has been proposed to suppress the vibration, in which the concept is delaying part of the input to superimpose with the original input to eliminate the output wave. In order to optimize the control effect, parameters of the controller are chosen according to the system response. The simulation outcomes demonstrate that wave superposition control strategy is effective in attenuating the vibration generated by hybrid electric vehicles during launch conditions.

Analyses of Relations between Pavement Adhesion Coefficient and Regenerative Braking in Hybrid Electric Vehicles

2014 ◽  
Vol 536-537 ◽  
pp. 1065-1068
Author(s):  
Jin Long Liu ◽  
Jing Ming Zhang ◽  
Ming Zhi Xue
Keyword(s):  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Front Wheel ◽  
Regenerative Braking ◽  
Recovery Efficiency ◽  
Adhesion Coefficient ◽  
Braking System ◽  
Wheel Drive ◽  
Wheel Model ◽  
Hybrid Electric

The study object is Hybrid Electric Vehicle (HEV) with front-wheel drive (FWD) pattern and wire-controlled braking system. The relations between pavement adhesion coefficient and recovery efficiency of regenerative braking were discussed. Consequences were concluded through theoretical derivations basing on the two-wheel model. Simulations were built and simulated within a certain HEV on the platform in MATLAB/SIMULINK. The results indicate that the recovery efficiency would experience an upward trend if the pavement adhesion coefficient declines.

Multi-Lookup Table Based Regenerative Braking Strategy of Plug-in Hybrid Electric Vehicle

2010 ◽  
Vol 44-47 ◽  
pp. 1509-1513 ◽  
Author(s):  
Qing Sheng Shi ◽  
Xiao Ping Zhang ◽  
Fuan Chen
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Control Strategies ◽  
Distribution Coefficients ◽  
Lookup Table ◽  
Regenerative Braking ◽  
Hybrid Electric ◽  
Braking Control ◽  
Novel Strategy

. In order to improve the energy efficiency of plug-in hybrid electric vehicles, it is important to design a suitable regenerative braking strategy. There are many control strategies that have been developed and presented for plug-in hybrid electric vehicles. Most of them are aimed to energy flow management, and seldom involves regenerative braking control. In this paper, a regenerative braking strategy based on multi-lookup table method is proposed for plug-in hybrid electric vehicles. Decelerations are introduced as the index of Table Selector, so braking force distribution coefficients can be flexibly adjusted using the proposed strategy. Finally, the simulation results show the validity of the novel strategy.

Data-driven fault diagnosis in a hybrid electric vehicle regenerative braking system

2012 ◽  
Author(s):  
Chaitanya Sankavaram ◽  
B. Pattipati ◽  
K. Pattipati ◽  
Yilu Zhang ◽  
M. Howell ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Data Driven ◽  
Regenerative Braking ◽  
Braking System ◽  
Hybrid Electric

Multirate Integration in Hybrid Electric Vehicle Virtual Proving Grounds

1998 ◽  
Author(s):  
Dario Solis ◽  
Chris Schwarz
Keyword(s):  
Real Time ◽  
Electric Vehicle ◽  
Time Scales ◽  
Electric Vehicles ◽  
Time Scale ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Differential Algebraic Equations ◽  
Vehicle Systems ◽  
Hybrid Electric

Abstract In recent years technology development for the design of electric and hybrid-electric vehicle systems has reached a peak, due to ever increasing restrictions on fuel economy and reduced vehicle emissions. An international race among car manufacturers to bring production hybrid-electric vehicles to market has generated a great deal of interest in the scientific community. The design of these systems requires development of new simulation and optimization tools. In this paper, a description of a real-time numerical environment for Virtual Proving Grounds studies for hybrid-electric vehicles is presented. Within this environment, vehicle models are developed using a recursive multibody dynamics formulation that results in a set of Differential-Algebraic Equations (DAE), and vehicle subsystem models are created using Ordinary Differential Equations (ODE). Based on engineering knowledge of vehicle systems, two time scales are identified. The first time scale, referred to as slow time scale, contains generalized coordinates describing the mechanical vehicle system that includs the chassis, steering rack, and suspension assemblies. The second time scale, referred to as fast time scale, contains the hybrid-electric powertrain components and vehicle tires. Multirate techniques to integrate the combined set of DAE and ODE in two time scales are used to obtain computational gains that will allow solution of the system’s governing equations for state derivatives, and efficient numerical integration in real time.

Minimizing Seat Track Vibration That is Caused by the Automatic Start/Stop of an Engine in a Power-Split Hybrid Electric Vehicle

2013 ◽  
Vol 135 (6) ◽  
Author(s):  
Hsiu-Ying Hwang
Keyword(s):  
Hybrid Electric Vehicle ◽  
Internal Combustion Engines ◽  
Hybrid Electric Vehicles ◽  
Control Strategies ◽  
Effective Means ◽  
Combustion Engines ◽  
Crank Angle ◽  
Power Split ◽  
Hybrid Electric ◽  
Reaction Torque

The use of hybrid electric vehicles is an effective means of reducing pollution and improving fuel economy. Certain vehicle control strategies commonly automatically shut down or restart the internal combustion engines of hybrid vehicles to improve their fuel consumption. Such an engine autostart/stop is not engaged or controlled by the driver. Drivers often do not expect or prepare for noticeable vibrations, noise, or an unsmooth transition when the engine is autostarted/stopped. Unsmooth engine autostart/stop transitions can cause driveline vibrations, making the ride uncomfortable and the customer dissatisfied with the vehicle. This research simulates the dynamic behaviors associated with the neutral starting and stopping of a power-split hybrid vehicle. The seat track vibration results of analysis and hardware tests of the baseline control strategy are correlated. Several antivibration control strategies are studied. The results reveal that pulse cancellation and the use of a damper bypass clutch can effectively reduce the fluctuation of the engine block reaction torque and the vibration of the seat track by more than 70% during the autostarting and stopping of the engine. The initial crank angle can have an effect on the seat track vibration as well.

Hybrid Particle Swarm and Gravitational Search Optimization Techniques for Charging Plug-In Hybrid Electric Vehicles

2016 ◽  
pp. 471-504 ◽  
Author(s):  
Imran Rahman ◽  
Pandian Vasant ◽  
Balbir Singh Mahinder Singh ◽  
M. Abdullah-Al-Wadud
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Particle Swarm ◽  
Transportation Industry ◽  
Hybrid Particle ◽  
Search Optimization ◽  
Gravitational Search ◽  
Hybrid Electric ◽  
Computational Intelligence Methods

Electrification of Transportation has undergone major modifications since the last decade. Success of combining smart grid technology and renewable energy exclusively depends upon the large-scale participation of Plug-in Hybrid Electric Vehicles (PHEVs) towards reach the desired pollution-free transportation industry. One of the key Performance pointers of hybrid electric vehicle is the State-of-Charge (SoC) which needs to be enhanced for the advancement of charging station using computational intelligence methods. In this Chapter, authors applied Hybrid Particle swarm and gravitational search Optimization (PSOGSA) technique for intelligently allocating energy to the PHEVs considering constraints such as energy price, remaining battery capacity, and remaining charging time. Computational experiment results attained for maximizing the highly non-linear fitness function estimates the performance measure of both the techniques in terms of best fitness value and computation time.

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