Research on the Dynamic Performance and Parameter Design of Parallel Hybrid Electric Vehicle

2010 ◽  
Vol 108-111 ◽  
pp. 613-618
Author(s):  
Wei Zheng ◽  
Qian Fan Zhang ◽  
Shu Mei Cui
Keyword(s):  
Electric Vehicle ◽  
Power Distribution ◽  
Hybrid Electric Vehicle ◽  
Dynamic Models ◽  
Parametric Design ◽  
Combustion Engine ◽  
Dynamic Performance ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric

According to the Parallel Hybrid Electric Vehicle (PHEV) demands on powertrain systems, the dynamic models of PHEV are built in this paper. Base on the analysis of dynamical characteristics of both internal combustion engine (ICE) and electric machine (EM), the dynamic ability and fuel economy performance of PHEV is presented. The paper focuses on the parametric design of powertrain on vehicle performance, which provided the theoretical foundation for PHEV design. The paper also puts forward the control strategy of PHEV during the operating modes switching, which aims to solve the problem of the power distribution between the ICE and electric motor, which can effectively resolve process control problems of the complex PHEV system. By employing the dynamic model and performing MATLAB simulation, the results of simulation are given, which demonstrate that the PHEV improve performance well.

The Power Distribution Control Study in Parallel Hybrid Electric Vehicle Based on Fuzzy Theory

2014 ◽  
Vol 529 ◽  
pp. 554-558
Author(s):  
Rui Fang Li ◽  
Dong Ya Song
Keyword(s):  
Electric Vehicle ◽  
Output Power ◽  
Power Distribution ◽  
Hybrid Electric Vehicle ◽  
Fuzzy Theory ◽  
Optimization Method ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Fuzzy Logical

By analyzing the parallel hybrid electric vehicle mode, the optimization of output power to fuel engine and electric motor is discussed. The fuzzy logical rules are proposed by fuzzy control theory. According to the system required power and battery SOC, the engine output power and the motor output power are optimized. The results show that the optimization method based on fuzzy logical can effectively reduces fuel consumption and can well control the battery SOC changes.

Analysis of Power Distribution and Sensitivity for the Power Synthesizer of Hybrid Electric Vehicle

2008 ◽  
Author(s):  
Chunguo Zhou ◽  
Hongzhao Liu ◽  
Yahui Cui
Keyword(s):  
Electric Vehicle ◽  
Power Distribution ◽  
Hybrid Electric Vehicle ◽  
Angular Speed ◽  
Gear Train ◽  
Parallel Hybrid Electric Vehicle ◽  
Differential Gear ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Speed Response

The Power Synthesizer of Parallel Hybrid Electric Vehicle (PHEV) has been the research object. It is composed of the differential gear train, in which its power distribution and sensitivity has been analyzed as main problems. The transmission ratio, torque and power distribution have been analyzed about the gear train. Whatever its structure is, if only the value of structure parameter K is same, then the corresponding relative kinematics relation and mechanics relation of the basic components are same absolutely. The calculation of power distribution among basic components has been introduced. The sensitivity has direct influence to the mobile performance of vehicle, so the angular speed response for output components to input components has been analyzed, and the connecting mode between engine or motor and differential gear train has been bought forward. The analytical results can be helpful for the parameters’ design of kinematics and dynamics of the vehicle, and for the vehicle’s control.

scholarly journals Research on Gear Shifting Process without Disengaging Clutch for a Parallel Hybrid Electric Vehicle Equipped with AMT

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Hui-Long Yu ◽  
Jun-Qiang Xi ◽  
Feng-qi Zhang ◽  
Yu-hui Hu
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Dynamic Models ◽  
Bench Test ◽  
Mechanical Transmission ◽  
Transient States ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric

Dynamic models of a single-shaft parallel hybrid electric vehicle (HEV) equipped with automated mechanical transmission (AMT) were described in different working stages during a gear shifting process without disengaging clutch. Parameters affecting the gear shifting time, components life, and gear shifting jerk in different transient states during a gear shifting process were deeply analyzed. The mathematical models considering the detailed synchronizer working process which can explain the gear shifting failure, long time gear shifting, and frequent synchronizer failure phenomenon in HEV were derived. Dynamic coordinated control strategy of the engine, motor, and actuators in different transient states considering the detailed working stages of synchronizer in a gear shifting process of a HEV is for the first time innovatively proposed according to the state of art references. Bench test and real road test results show that the proposed control strategy can improve the gear shifting quality in all its evaluation indexes significantly.

scholarly journals Series-Parallel Hybrid Electric Vehicle Parameter Analysis using MATLAB

2021 ◽  
Vol 9 (10) ◽  
pp. 421-428
Author(s):  
Richik Ray
Keyword(s):  
Internal Combustion Engine ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Matlab Simulink ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric

Abstract: In this paper, a MATLAB based Simulink model of a Series-Parallel Hybrid Electric Vehicle is presented. With the advent of Industry 4.0, the usage of Big Data, Machine Learning, Internet of Things, Artificial Intelligence, and similar groundbreaking domains of technology have usurped manual supervision in industrial as well as personal scenarios. This is aided by the drastic shift from orthodox and conventional Internal Combustion Engine based vehicles fuelled by fossil fuels in the order of petrol, diesel, etc., to fully functional electric vehicles developed by renowned companies, for example Tesla. Alongside 100% electric vehicles are hybrid vehicles that function on a system based on the integration of the conventional ICE and the modern Electric Propulsion System, which is referred to as the Hybrid Vehicle Drivetrain. Designs for modern HEVs and EVs are developed on computer software where simulations are run and all the essential parameters for the vehicle’s performance and sustainability are run and observed. This paper is articulated to discuss the parameters of a series-parallel HEV through an indepth MATLAB Simulink design, and further the observations are presented. Keywords: ICE (Internal Combustion Engine), HEV (Hybrid Electric Vehicle), Drivetrain, MATLAB, Simulink, PSD (Power Split Device), Vehicle Dynamics, SOC (State-of-Charge)

Matching and Optimization for Powertrain System of Parallel Hybrid Electric Vehicle

2013 ◽  
Vol 341-342 ◽  
pp. 423-431
Author(s):  
Jian Ping Gao ◽  
Yue Hui Wei ◽  
Zhen Nan Liu ◽  
Hong Bing Qiao
Keyword(s):  
Electric Vehicle ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Dynamic Performance ◽  
Hybrid Powertrain ◽  
Parallel Hybrid Electric Vehicle ◽  
Powertrain System ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Avl Cruise

The parameters matching of the hybrid powertrain system of the hybrid electric vehicle has a directly impact on the performance of the vehicle dynamic and the fuel economy. The preliminary match of the powertrain system base on analysis of Driving Cycle is done, then the software of AVL-Cruise and Matlab are integrated with Isight to optimize parameters of match, by using the Multi-Island GA and NLPQL to establish the combinatorial optimization algorithm. The results show that the fuel economy have been improved by 10.92% without sacrificing the dynamic performance and under the premise of ensuring the limits of the state of charge of battery.

Development of a Novel Torque Management Strategy for Parallel Hybrid Electric Vehicle

2013 ◽  
Vol 278-280 ◽  
pp. 1729-1736 ◽  
Author(s):  
Xian Wu Gong ◽  
Chuang Gao ◽  
Pei Wang
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Management Strategy ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
The State ◽  
State Of Charge ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric

In this paper, a torque management strategy for parallel hybrid electric vehicle(PHEV) is developed. The proposed strategy is responsible for vehicle's torque distribution during driving，between the Internal Combustion Engine(ICE) and the electric motor(EM) by Fuzzy Logic Control(FLC). This has been investigated through two main aspects. The first is the optimum torque split between the ICE and the EM. The second is sustaining the State of Charge(SOC) of the battery.These goals have been accomplished by developing two fuzzy logic(FL) controllers. The FL controllers are designed based on the state of charge of the battery, the ICE speed, the vehicle's requested torque and the ICE target torque. The strategy is validated by ADVISOR2002 simulation model based on the software Matlab/Simulink. The performance of the vehicle have been analyzed throughout a combined driving cycle that represents the normal and the worst operating conditions.Compared to the electric assistant control strategy(EACS), The simulation results show that the proposed torque management strategy is effective to control the engine's operating points within the highest efficiency as well as sustain the SOC of the battery. Thereby, improving the efficiency of the ICE and the EM, enhancing the battery’s life, reducing fuel consumption and decreasing emission.

Design and Control Strategy of a 4WD Hybrid Electric Vehicle with a Two-Speed Transmission

2013 ◽  
Vol 380-384 ◽  
pp. 605-608
Author(s):  
Ze Yu Chen ◽  
Xue Jiao Li ◽  
Bin Jiao
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Power Distribution ◽  
Hybrid Electric Vehicle ◽  
System Structure ◽  
Parallel Hybrid Electric Vehicle ◽  
Shifting Strategy ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
And Control

A new-style four-wheeled driving (4WD) series-parallel hybrid electric vehicle (HEV) plus with a two speed transmission is presented in this paper. The system structure and operation principles are discussed systematically, and then the control strategy is proposed. Control strategy focus on the multi modes switch logic and power distribution. In addition, shifting strategy of the two speed transmission is researched. Simulation results indicate that the presented 4WD HEV can realize nice dynamic property; the presented control strategy is correct and effective.

Impact of Motor Size & Efficiency on Acceleration, Fuel Consumption & Emissions of Split-Axle Through-the-Road Parallel Hybrid Electric Vehicle

2014 ◽  
Vol 663 ◽  
pp. 498-503 ◽  
Author(s):  
Saiful A. Zulkifli ◽  
Syaifuddin Mohd ◽  
Nordin B. Saad ◽  
A. Rashid A. Aziz
Keyword(s):  
Fuel Consumption ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
Hybrid Vehicles ◽  
The Road ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Improved Performance

A split-axle parallel hybrid drive-train with in-wheel motors allows for existing combustion-engine-driven vehicles to be converted into a hybrid vehicle with minor mechanical modification, resulting in a retrofit-conversion hybrid electric vehicle (HEV). This is achieved by placing electric motors in the hub of the otherwise non-driven wheels. Due to the wheel hub’s size constraint, the allowable size and power of the electric in-wheel motor that can be installed is severely restricted to less than 10 kW per wheel, which raises the concern of lack of improved performance compared to the original vehicle. This work analyzes the influence of motor sizing and efficiency on acceleration performance, fuel consumption and emission levels of three different converted hybrid vehicles, through simulation. Results provide insight into sensitivity of different-sized vehicles with varying-size engines, to the size and efficiency of the retrofitted electric motor.

MPC-Based Energy Management of a Parallel Hybrid Electric Vehicle Using Terrain Information

2015 ◽  
Author(s):  
Mohamed Wahba ◽  
Sean Brennan
Keyword(s):  
Electric Vehicle ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
Simulation Software ◽  
Electrical Machine ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Power Split ◽  
Hybrid Electric

A parallel hybrid electric vehicle (HEV) combines the power produced by electric machines and a combustion engine to enable improved fuel economy. Optimization of the power-split algorithm managing both torque sources can be readily achieved offline, but online implementation results often show great deviation from expected fuel economy due to traffic, hills, and similar effects that are not easily modeled. Of these external influences, the road grade for a travel route is potentially known a priori given a set destination choice from the driver. To examine whether grade information can improve the performance of a hybrid powertrain controller, we first formulate the vehicle model as a low-order dynamic model, recognizing that the primary dynamics of the energy system are slow. A model predictive control (MPC) strategy utilizing the terrain data is then developed to obtain a time-varying power split between the combustion engine and the electrical machine. Simulation results of the HEV model over multiple standard drive cycles, with different terrain profiles and different cost functions, are presented. Testing of the MPC performance compared to Argonne National Lab’s powertrain simulation software Autonomie shows that the MPC strategy utilizing terrain data gives an improvement of up to 2.2% in fuel economy with respect to the same controller without terrain information, on the same route.

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