scholarly journals Individual Drive-Wheel Energy Management for Rear-Traction Electric Vehicles with In-Wheel Motors

2021 ◽  
Vol 11 (10) ◽  
pp. 4679
Author(s):  
Jose del C. Julio-Rodríguez ◽  
Alfredo Santana-Díaz. ◽  
Ricardo A. Ramirez-Mendoza
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Rear Axle ◽  
Experimental Testing ◽  
Dynamic Performance ◽  
Power Train ◽  
Longitudinal Dynamic ◽  
Tractive Effort ◽  
Instantaneous Center ◽  
Train System

In-wheel motor technology has reduced the number of components required in a vehicle’s power train system, but it has also led to several additional technological challenges. According to kinematic laws, during the turning maneuvers of a vehicle, the tires must turn at adequate rotational speeds to provide an instantaneous center of rotation. An Electronic Differential System (EDS) controlling these speeds is necessary to ensure speeds on the rear axle wheels, always guaranteeing a tractive effort to move the vehicle with the least possible energy. In this work, we present an EDS developed, implemented, and tested in a virtual environment using MATLAB™, with the proposed developments then implemented in a test car. Exhaustive experimental testing demonstrated that the proposed EDS design significantly improves the test vehicle’s longitudinal dynamics and energy consumption. This paper’s main contribution consists of designing an EDS for an in-wheel motor electric vehicle (IWMEV), with motors directly connected to the rear axle. The design demonstrated effective energy management, with savings of up to 21.4% over a vehicle without EDS, while at the same time improving longitudinal dynamic performance.

Selection of Power Train Components and Simulation of Dynamic Performance of Electric Vehicles

2010 ◽  
Vol 29-32 ◽  
pp. 2138-2143
Author(s):  
Cheng Jiao Tu ◽  
Xue Zhe Wei ◽  
Hai Feng Dai
Keyword(s):  
Electric Vehicles ◽  
Dynamic Performance ◽  
Lithium Ion ◽  
Simulation Models ◽  
Power Train ◽  
Vehicle Simulation ◽  
Ac Induction Motor ◽  
Train System ◽  
Motor Model ◽  
Selection Of

Electric vehicles have the ability to drastically reduce petroleum use. As the battery used in EVs appears to be the main technical barriers both from a performance and cost perspective, the main efforts have been focused on how to select appropriate power train system for the better dynamic performance. This paper introduces some methods of parameters design of EV’s main power train components, such as the lithium-ion battery and AC induction motor. Then we build a battery model, a motor model and vehicle simulation models using ADVISOR software. Meanwhile, this paper proposes simulation results of the entire vehicle’s dynamic performance, which shows that the power train components’ parameters designed here basically meet the vehicle’s requirements.

scholarly journals Energy Management Strategy Using Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicles

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Fazhan Tao ◽  
Longlong Zhu ◽  
Baofeng Ji ◽  
Pengju Si ◽  
Zhumu Fu
Keyword(s):  
Wavelet Transform ◽  
Fuel Cell ◽  
Energy Management ◽  
Electric Vehicles ◽  
Management Strategy ◽  
Control Method ◽  
Dynamic Performance ◽  
Energy Management Strategy ◽  
Equivalent Consumption Minimization Strategy ◽  
Frequency Power

In this paper, an energy management strategy for electric vehicles equipped with fuel cell (FC), battery (BAT), and supercapacitor (SC) is considered, aiming at improving the whole performance under a framework of vehicle to network application. In detail, based on wavelet transform and equivalent consumption minimization strategy (ECMS), the demand power of vehicles is optimized to enhance the lifespan of fuel cell, fuel economy, and dynamic performance of electric vehicles. The wavelet transform is used to separate the high-frequency power in order to provide a peak power and recycle the braking energy. The equivalent consumption minimization strategy is used to distribute the low-frequency power to fuel cell and battery for minimizing the hydrogen consumption. Obtained results are studied using an advanced vehicle simulator, and its effectiveness of the strategy is confirmed, which provides a fundamental control method for the IOV application.

Study and Realization of a Driver Assistive System for Control of Instantaneous Center of Rotation in an Electric Vehicle

2018 ◽  
Vol 10 (4) ◽  
Author(s):  
Hemza Saidi ◽  
Djebri Boualem
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Analytical Solutions ◽  
Experimental Testing ◽  
Vehicle Stability ◽  
Center Of Rotation ◽  
The Road ◽  
On The Road ◽  
Instantaneous Center ◽  
The Stability

The stability of electric vehicles is difficult during their mobility on a curved trajectory with several driving wheels. This problem causes a danger for the electric vehicle stability due to the effect of the instantaneous center of rotation (ICR). The desire to have more safety in this type of vehicle encourages us to develop a driving assistive system to reduce the effects of ICR in two wheels drive electric vehicles using Arduino and a LabVIEW interface for data processing that help to control the vehicle on the road. Analytical solutions and their implementations are demonstrated through experimental testing in a laboratory scale.

scholarly journals Research on the control strategy of power train systems for hybrid hydraulic excavators

2018 ◽  
Vol 10 (7) ◽  
pp. 168781401879066
Author(s):  
Qihuai Chen ◽  
Tianliang Lin ◽  
Haoling Ren ◽  
Shengjie Fu
Keyword(s):  
Energy Conservation ◽  
Control Strategy ◽  
High Efficiency ◽  
Dynamic Performance ◽  
State Of Charge ◽  
Hydraulic Excavator ◽  
Power Train ◽  
Hybrid Power ◽  
Ultra Capacitor ◽  
Train System

Hybrid power technology is a practicable method for construction machinery to improve fuel utilization and reduce emissions. In this article, in order to achieve the maximum degree of energy conservation for hybrid hydraulic excavator, a study on a control strategy of the hybrid power train system for a 20-t hybrid hydraulic excavator is conducted. A rule-based method which stabilizes the engine operating points in high-efficiency area and maintains the state of charge of the ultra-capacitor in a feasible operating range is presented. Meanwhile, to improve the reliability of the ultra-capacitor, a two-stage state of charge constraint is applied. To validate the effectiveness of the control strategy, a hybrid power train system simulation loading experiment platform is built. The working characteristics and the energy conservation characteristics of the hybrid power train system are explored. Actual load profiles measured from a 20-t traditional excavator are measured and applied in the system. The experimental results show that the proposed control strategy for the hybrid power train system can improve the fuel economy of the hybrid hydraulic excavator. Meanwhile, dynamic performance of the hybrid power train system is better than that of the traditional excavator.

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