Advanced control approach for solar assisted electric vehicle drive

2021 ◽  
Author(s):  
Iram Akhtar ◽  
Sheeraz Kirmani ◽  
Shaheen Hasan ◽  
Sabah khan
Keyword(s):  
Electric Vehicle ◽  
Control Approach ◽  
Advanced Control

scholarly journals A Novel Range-Extended Strategy for Fuel Cell/Battery Electric Vehicles

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Jenn-Jiang Hwang ◽  
Jia-Sheng Hu ◽  
Chih-Hong Lin
Keyword(s):  
Fuel Cell ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Diesel Generator ◽  
Control Approach ◽  
Battery Electric Vehicles ◽  
Switch Control ◽  
Driving Model ◽  
Range Anxiety ◽  
Charging Strategy

The range-extended electric vehicle is proposed to improve the range anxiety drivers have of electric vehicles. Conventionally, a gasoline/diesel generator increases the range of an electric vehicle. Due to the zero-CO2emission stipulations, utilizing fuel cells as generators raises concerns in society. This paper presents a novel charging strategy for fuel cell/battery electric vehicles. In comparison to the conventional switch control, a fuzzy control approach is employed to enhance the battery’s state of charge (SOC). This approach improves the quick loss problem of the system’s SOC and thus can achieve an extended driving range. Smooth steering experience and range extension are the main indexes for development of fuzzy rules, which are mainly based on the energy management in the urban driving model. Evaluation of the entire control system is performed by simulation, which demonstrates its effectiveness and feasibility.

A robust torque control approach for gear shift of a parallel hybrid electric vehicle with dual clutch transmission

2020 ◽  
Vol 68 (5) ◽  
pp. 399-405
Author(s):  
Sooyoung Kim ◽  
Seibum Choi
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Internal Combustion Engines ◽  
Torque Control ◽  
Dual Clutch Transmission ◽  
Control Approach ◽  
Shift Quality ◽  
Smoothing Effects ◽  
Hybrid Electric

This article proposes a robust control strategy for gear shifts of a parallel-type hybrid electric vehicle (HEV) equipped with a dry dual clutch transmission (DCT). A vehicle equipped with DCT requires accurate torque transfer control through the driveline during gear shifts to ensure good shift quality in the absence of smoothing effects from torque converter. Unlike conventional vehicles driven only by internal combustion engines, a HEV can utilize the drive motor to improve its gear shifting performances. In this article, an integrated torque and speed control strategy is developed to minimize the driveline oscillations that occur during gear shifts and to complete the shift as fast as the driver wants. A robust H-infinity controller is designed to control transmission output torque as well as clutch slip speed, particularly in inertia phase that mostly determines the total shift quality. The effectiveness of the proposed control strategy as well as its robustness is verified by comparative studies using a proven vehicle model developed in MATLAB/SimDriveline.

scholarly journals System Planning of Grid-Connected Electric Vehicle Charging Stations and Key Technologies: A Review

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4201 ◽  
Author(s):  
Chao-Tsung Ma
Keyword(s):  
Power Generation ◽  
Electric Vehicle ◽  
Distribution Systems ◽  
Combustion Engine ◽  
Power Converter ◽  
Control Algorithms ◽  
Advanced Control ◽  
Key Technologies ◽  
System Configurations ◽  
Charging Stations

The optimal planning of electric vehicle (EV) charging stations (ECSs) with advanced control algorithms is very important to accelerate the development of EVs, which is a promising solution to reduce carbon emissions of conventional internal combustion engine vehicles (ICEVs). The large and fluctuant load currents of ECSs can bring negative impacts to both EV-related power converters and power distribution systems if the energy flow is not regulated properly. Recent review papers related to EVs found in open literature have mainly focused on the design of power converter-based chargers and power interfaces, analyses of power quality (PQ) issues, the development of wireless charging techniques, etc. There is currently no review paper that focuses on key technologies in various system configurations, optimal energy management and advanced control issues in practical applications. To compensate for this insufficiency and provide timely research directions, this paper reviews 143 previously published papers related to the aforementioned topics in recent literature including 17 EV-related review papers found in Institute of Electrical and Electronics Engineers (IEEE)/Institution of Engineering and Technology (IET) (IEEE/IET) Electronic Library (IEL) and ScienceDirect OnSite (SDOS) databases. In this paper, existing system configurations, related design methods, algorithms and key technologies for ECSs are systematically reviewed. Based on discussions given in the reviewed papers, the most popular ECS configuration is a hybrid system design that integrates renewable energy (RE)-based power generation (REBPG), various energy storage systems (ESSs), and utility grids. It is noteworthy that the addition of an ESS with properly designed control algorithms can simultaneously buffer the fast, fluctuant power demand during charging, smooth the intermittent power generation of REBPG, and increase the overall efficiency and operating flexibility of ECSs. In addition, verifying the significance of the flexibility and possible profits that portable ESSs provide in ECS networks is a potential research theme in ECS fields, in which the potential applications of portable ESSs in the grid-tied ECSs are numerous and could cover a full technical spectrum.

Hierarchical Control for Electro-Thermal Power Management of an Electric Vehicle Powertrain

2018 ◽  
Author(s):  
Donald J. Docimo ◽  
Herschel C. Pangborn ◽  
Andrew G. Alleyne
Keyword(s):  
Electric Vehicle ◽  
Thermal Power ◽  
Hierarchical Control ◽  
Level Energy ◽  
Centralized Control ◽  
Control Approach ◽  
Trade Offs ◽  
Control Framework ◽  
Model Predictive Controllers ◽  
High Level

This paper develops a hierarchical control framework to manage both the electrical and thermal domains of an automotive electric vehicle (EV). Batteries, electric machines, and power electronics all have desired thermal operating ranges, with operation outside these limits leading to reduced component performance and lifespan. Previous studies present various component- and high-level energy management algorithms that seek to maintain desired temperatures. However, the literature contains limited efforts to develop comprehensive control approaches that coordinate the electrothermal dynamics within the vehicle, ensuring that electrical systems do not generate more thermal energy than can be managed within temperature constraints. To address this gap, this paper presents a hierarchical control framework that governs electrical and thermal states across multiple timescales while meeting operational requirements, such as tracking a desired vehicle velocity and cabin temperature. To develop this framework, a network of communicating model predictive controllers coordinates the system dynamics, with significant reduction in computational complexity over a centralized control approach. A graph-based model of the candidate EV powertrain is developed and then decomposed to generate models used in each controller of the hierarchical framework. Through the case study of this paper, it is demonstrated that the hierarchical controller can make important trade-offs between tracking desired operational references and maintaining temperatures within constraints.

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