scholarly journals Fuel enhancement of parallel hybrid electric two-wheeler motorcycle

2020 ◽  
Vol 10 (6) ◽  
pp. 6180
Author(s):  
V. Krithika ◽  
C. Subramani
Keyword(s):  
Combustion Engine ◽  
Continuous Variable ◽  
Electrical Machine ◽  
Vehicle Speed ◽  
Conventional Vehicle ◽  
Parallel Hybrid ◽  
New Energy ◽  
Hybrid Electric ◽  
Low Torque ◽  
Two Wheeler

In this paper, design and simulation of a parallel hybrid electric two-wheeler motorcycle (PHETM) by means of continuous variable transmission (CVT) is illustrated. For simulation, the parallel hybrid electric power train model type in MATLAB/ADVISOR is customized. The internal combustion engine (ICE) be supposed to drive at elevated efficiency areas, in order to attain enhanced fuel economy and a reduced amount of emission. Simultaneously, the ICE must not activate at values of low torque areas. For that reason, get better it whilst ICE is ON, a new energy control strategy is proposed. In the new strategy, the electrical machine absorbs the extra torque of the ICE. This article proposes a PHETM system to propel the vehicle efficiently with reduced amounts of emission on comparing witha conventional vehicle. This system includes two modes of operations for achieving the better results known as motoring mode and generating mode. The switching from one mode to other is based on the vehicle speed which is sensed in real time. A drive cycle is generated by running the vehicle in normal and slightly gradient condition and finally the results are compared.

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.

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.

Efficiency improvement of a novel dual motor powertrain for plug-in hybrid electric buses

2020 ◽  
Vol 234 (7) ◽  
pp. 1869-1882 ◽  
Author(s):  
Cong Thanh Nguyen ◽  
Paul D Walker ◽  
Nong Zhang ◽  
Jiageng Ruan
Keyword(s):  
Dynamic Programming ◽  
Vehicle Speed ◽  
Efficiency Improvement ◽  
Energy Management Strategy ◽  
Power Sources ◽  
Single Motor ◽  
Driving Cycles ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Powertrain Configuration

Powertrain configuration plays an important role in the performance of plug-in hybrid electric buses. Current designs are the compromise between energy efficiency, dynamic ability, shifting smoothness and manufactural cost. To balance the above requirements, this research proposes a novel dual motor powertrain for plug-in hybrid electric buses. The efficiency improvement is compared to the conventional plug-in parallel hybrid electric buses with a single motor powertrain. Parameter designs of system components guarantee two configurations equivalently. To maximize the benefits of the proposed powertrain, this paper introduces an energy management strategy which coordinates enumeration method and dynamic programming to build the optimal maps of powertrain operation. The enumeration method determines the working points of power sources and gear states in all possible modes according to vehicle speed and power. The dynamic programming then selects the most suitable mode with the consideration of gear shifting and mode change in the optimal maps. Simulation results show that the dual motors work in peak efficiency region much more frequently than the single motor in different conditions. Therefore, the total energy cost of dual motor powertrain for entire driving cycles decreases significantly in comparison with the single motor powertrain, 6.5% in the LA92 and 6.7% in the Urban Dynamometer Driving Schedule.

scholarly journals Optimal and prototype dimensioning of 48V P0+P4 hybrid drivetrains

2020 ◽  
Vol 5 (3-4) ◽  
pp. 173-186
Author(s):  
Matthias Werra ◽  
Axel Sturm ◽  
Ferit Küçükay
Keyword(s):  
Fuel Consumption ◽  
Urban Areas ◽  
Combustion Engine ◽  
Electric Machine ◽  
Prototype Model ◽  
Vehicle Speed ◽  
Conventional Vehicle ◽  
Light Duty ◽  
Consumption Reduction ◽  
And Performance

Abstract This paper presents a virtual toolchain for the optimal concept and prototype dimensioning of 48 V hybrid drivetrains. First, this toolchain is used to dimension the drivetrain components for a 48 V P0+P4 hybrid which combines an electric machine in the belt drive of the internal combustion engine and a second electric machine at the rear axle. On an optimal concept level, the power and gear ratios of the electric components in the 48 V system are defined for the best fuel consumption and performance. In the second step, the optimal P0+P4 drivetrain is simulated with a prototype model using a realistic rule-based operating strategy to determine realistic behavior in legal cycles and customer operation. The optimal variant shows a fuel consumption reduction in the Worldwide harmonized Light Duty Test Cycle of 13.6 % compared to a conventional vehicle whereas the prototype simulation shows a relatively higher savings potential of 14.8 %. In the prototype simulation for customer operation, the 48 V hybrid drivetrain reduces the fuel consumption by up to 24.6 % in urban areas due to a high amount of launching and braking events. Extra-urban and highway areas show fuel reductions up to 11.6 % and 4.2 %, respectively due to higher vehicle speed and power requirements. The presented virtual toolchain can be used to combine optimal concept dimensioning with close to reality behaviour simulations to maximise realistic statements and minimize time effort.

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 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.

Study on Co-Simulation and Experiment of a Series-Parallel Hybrid Electric Vehicle

2014 ◽  
Vol 496-500 ◽  
pp. 1231-1234
Author(s):  
Ding Jian Huang
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Simulation Software ◽  
Engine Fuel ◽  
Conventional Vehicle ◽  
Parallel Hybrid Electric Vehicle ◽  
Test Platform ◽  
Parallel Hybrid ◽  
Simulation And Experiment ◽  
Hybrid Electric

A series-parallel hybrid electric vehicle and its controller are more complicated than conventional vehicle,even a series or parallel hybrid electric vehicle. The HEV test platform is built up to get the engine fuel consumption map.The model of a series-parallel hybrid electric vehicle is established on the platform of the professional simulation software CRUISE,and the controller of the HEV is builded on MATLAB/Simulink.In the end,the results of co-simulation and vehicle experiment verify the validity and feasibility of this method.

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)

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