Powertrain Control of Parallel Hybrid Electric Vehicles via Extremum Seeking Algorithm

2010 ◽  
Author(s):  
Erkin Dinc¸men ◽  
I˙smail M. C. Uygan ◽  
Bilin Aksun Gu¨venc¸ ◽  
Tankut Acarman
Keyword(s):  
Hybrid Electric Vehicle ◽  
Control Algorithm ◽  
Combustion Engine ◽  
Operation Mode ◽  
Extremum Seeking ◽  
Powertrain Control ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Upper Level ◽  
Battery Discharge

A control algorithm for a parallel hybrid electric vehicle is proposed in this paper. An upper level controller chooses vehicle operation mode such as regenerative braking, electric motor only, combustion engine only, engine+motor in battery discharge or engine+motor in battery charge modes. In engine+motor mode, optimum torque distribution between the engine and the motor is determined via extremum seeking algorithm that searches maximum drivetrain efficiency. Simulations are given to illustrate the effectiveness of the proposed control algorithm.

Research on Dynamic Torque Control Strategy for Parallel Hybrid Electric Vehicle

2011 ◽  
Vol 228-229 ◽  
pp. 951-956 ◽  
Author(s):  
Yun Bing Yan ◽  
Fu Wu Yan ◽  
Chang Qing Du
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Control Algorithm ◽  
Dynamic Control ◽  
Torque Control ◽  
Engine Torque ◽  
Parallel Hybrid Electric Vehicle ◽  
Torque Control Strategy ◽  
Parallel Hybrid ◽  
Hybrid Electric

It is necessary for Parallel Hybrid Electric Vehicle (PHEV) to distribute energy between engine and motor and to control state-switch during work. Aimed at keeping the total torque unchanging under state-switch, the dynamic torque control algorithm is put forward, which can be expressed as motor torque compensation for engine after torque pre-distribution, engine speed regulation and dynamic engine torque estimation. Taking Matlab as the platform, the vehicle control simulation model is built, based on which the fundamental control algorithm is verified by simulation testing. The results demonstrate that the dynamic control algorithm can effectively dampen torque fluctuations and ensures power transfer smoothly under various state-switches.

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.

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)

Real Time Control Strategy for Hybrid Electric Vehicles

2019 ◽  
Author(s):  
Sorush Niknamian
Keyword(s):  
Fuzzy Control ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
Complex Structure ◽  
Battery Charge ◽  
Hybrid Car ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Fuzzy Control Strategy

Based on the complex structure of electric hybrid car and uncertainty in driving force structure of electric hybrid car, different strategies have been presented for optimal management of energy based on smart methods. In this study by the decision making nature of fuzz logic, a movement map for Parallel Hybrid Electric Vehicle (PHEV) is made based on the required path. In a parallel hybrid car, recharging control of battery and auxiliary torque of electric engine are used as the key points of movement. Based on the disadvantages of pure electric car, to increase the life of battery and its easy use, we need a movement strategy balancing the battery charge for a movement path. If the battery is charged at no load by the combustion engine, NOx emission is increased and the battery charge is not good and adequate for HEV performance under no-load condition by the energy retrieval power and combustion engine. For a movement structure, it is hard to define the conversion point between the motor performance and generator performance exactly. By a drive strategy based on crisp methods, the battery charge is sensitive to the moving samples of driver, path condition and load conditions. Using fuzzy control strategy to control varied non-linear systems is very suitable and it is robust against the changes of components of sub-systems and inexact measurements. New York City Cycle (NYCC) is considered to perform simulation. As shown in paper, the fuzzy control strategy can keep the charge stage of batteries at good range.

Powertrain Simulation Research of Coaxial Series-Parallel Hybrid Electric Bus

2014 ◽  
Vol 945-949 ◽  
pp. 1333-1338
Author(s):  
Dong Jie Pei ◽  
Dong Chen Qin ◽  
Shou Chen Pan
Keyword(s):  
Hybrid Electric Vehicle ◽  
Dynamic Performance ◽  
Operation Mode ◽  
Secondary Development ◽  
Simulation Research ◽  
Vehicle Performance ◽  
Hybrid Electric Bus ◽  
Electric Bus ◽  
Parallel Hybrid ◽  
Hybrid Electric

In order to know the vehicle performance of coaxial series-parallel hybrid electric bus, on the basis of the analysis of the powertrain’s structure and operation mode, the control strategy is made, the simulation system is introduced by the secondary development of Advisor, the simulation result is analyzed and used. Through the analysis of vehicle dynamic performance, fuel economy, SOC value change of super capacitance, and the torque relations of main components, it is known that coaxial series-parallel hybrid electric bus can satisfy the requirements of the city bus’ working condition, and the operation relations between the power components can be mastered, which provides the technical support for the coaxial series-parallel hybrid electric vehicle development.

scholarly journals Development of Transmission Systems for Parallel Hybrid Electric Vehicles

2019 ◽  
Vol 9 (8) ◽  
pp. 1538 ◽  
Author(s):  
Po-Tuan Chen ◽  
Ping-Hao Pai ◽  
Cheng-Jung Yang ◽  
K. David Huang
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Combustion Engine ◽  
Gear Ratio ◽  
Parallel Hybrid ◽  
Matching Design ◽  
Hybrid Electric ◽  
Optimal Efficiency ◽  
And Performance

This study investigated the matching designs between a power integration mechanism (PIM) and transmission system for single-motor parallel hybrid electric vehicles. The optimal matching design may lead to optimal efficiency and performance in parallel hybrid vehicles. The Simulink/Simscape environment is used to model the powertrain system of parallel hybrid electric vehicles, which the characteristics of the PIM, location of the gearbox at the driveline, and design of the gear ratio of a gearbox influenced. The matching design principles for torque-coupled–type PIM (TC-PIM) parameters and the location of the gearbox are based on the speed range of the electric motor and the internal combustion engine. The parameters of the TC-PIM (i.e., k 1 and k 2 ) are based on the k ratio theory. Numerical simulations of an extra-urban driving cycle and acceleration tests reveal that a higher k r a t i o has greater improved power-assist ability under a pre-transmission architecture. For example, a k r a t i o of 1.6 can improve the power-assist ability by 8.5% when compared with a k r a t i o of 1. By using an appropriate gear ratio and k r a t i o , the top speed of a hybrid electric vehicle is enhanced by 9.3%.

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