A ROS-Based Energy Management System for a Prototype Fuel Cell Hybrid Vehicle

Piperidis, Savvas; Chrysomallis, Iason; Georgakopoulos, Stavros V.; Ghionis, Nikolaos; Doitsidis, Lefteris; Tsourveloudis, Nikos C.

doi:10.3390/en14071964

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…In ref [142,149,152,153,155], the authors explored various issues related to optimal EV design and power distribution. However, the power flow and EV design need further improvement.…”

Section: Optimal Ev Design and Power Distribution Challengesmentioning

confidence: 99%

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Optimized Energy Management Schemes for Electric Vehicle Applications: A Bibliometric Analysis towards Future Trends

et al. 2021

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Concerns over growing greenhouse gas (GHG) emissions and fuel prices have prompted researchers to look into alternative energy sources, notably in the transportation sector, accounting for more than 70% of carbon emissions. An increasing amount of research on electric vehicles (EVs) and their energy management schemes (EMSs) has been undertaken extensively in recent years to address these concerns. This article aims to offer a bibliometric analysis and investigation of optimized EMSs for EV applications. Hundreds (100) of the most relevant and highly influential manuscripts on EMSs for EV applications are explored and examined utilizing the Scopus database under predetermined parameters to identify the most impacting articles in this specific field of research. This bibliometric analysis provides a survey on EMSs related to EV applications focusing on the different battery storages, models, algorithms, frameworks, optimizations, converters, controllers, and power transmission systems. According to the findings, more articles were published in 2020, with a total of 22, as compared to other years. The authors with the highest number of manuscripts come from four nations, including China, the United States, France, and the United Kingdom, and five research institutions, with these nations and institutions accounting for the publication of 72 papers. According to the comprehensive review, the current technologies are more or less capable of performing effectively; nevertheless, dependability and intelligent systems are still lacking. Therefore, this study highlights the existing difficulties and challenges related to EMSs for EV applications and some brief ideas, discussions, and potential suggestions for future research. This bibliometric research could be helpful to EV engineers and to automobile industries in terms of the development of cost-effective, longer-lasting, hydrogen-compatible electrical interfaces and well-performing EMSs for sustainable EV operations.

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“…In ref [142,149,152,153,155], the authors explored various issues related to optimal EV design and power distribution. However, the power flow and EV design need further improvement.…”

Section: Optimal Ev Design and Power Distribution Challengesmentioning

confidence: 99%

“…In [142,145,148,149,151,[154][155][156], numerous authors investigated the battery storage life cycle and aging issues. The loss of battery cell function due to voltage and heat impacts has been studied; nevertheless, this loss reduces the battery's longevity.…”

Section: Battery Storage Life Cycle and Aging Issuesmentioning

confidence: 99%

Optimized Energy Management Schemes for Electric Vehicle Applications: A Bibliometric Analysis towards Future Trends

et al. 2021

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“…The approach was verified using the Velma service robot simulator [33], and then on the real robot, in both cases with a universal controller implemented within the FAB-RIC [34] software framework. As the use of domain-specific frameworks is a convenient approach [35], the FABRIC bases on ROS [36] and OROCOS [37]. The Velma robot has already been used in many research works described, e.g., in [2,23,26].…”

Section: The Verification Of the Grasped Object Weight Compensation Algorithmmentioning

confidence: 99%

Grasped Object Weight Compensation in Reference to Impedance Controlled Robots

2021

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This paper addresses the problem of grasped object weight compensation in the one-handed manipulation of impedance controlled robots. In an exemplary identification procedure, the weight of an object and its centre of mass together with gripper kinematic configuration are identified. The procedure is based on the measurements from a 6-axis force/torque sensor mounted near the gripper. The proposed method reduces trajectory tracking errors coming from the model imprecision without compromising the main advantages of impedance control. The whole approach is applied according to the embodied agent paradigm and verified on the two-arm service robot both in simulation and on hardware. Due to the general description that follows system engineering standards, the method can be easily modified or applied to similar systems.

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Systematic Modeling and Analysis of On-Board Vehicle Integrated Novel Hybrid Renewable Energy System with Storage for Electric Vehicles

et al. 2022

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The automobile industry and technology are putting a great significance in improving vehicles to become more fuel economical, but with incremental costs relative to conventional vehicle technologies; these new vehicles are electric vehicles (EV), plug-in hybrid electric vehicles (PHEV), and hybrid electric vehicles (HEV). However, their significant capabilities to reduce petroleum consumption and achieve efficiency over their life cycles offer economic benefits for customers, industry, carmakers, and policymakers. In this paper, an HEV concept based on renewable energy resources (RERs) is proposed. The proposed HEV design utilizes solar PV energy, wind energy, fuel cell, and a supercapacitor (PV + WE + FC + SC) which generates electrical energy via a proton exchange membrane (PEM) and an SC to cater for strong torque requirements. The vehicle incorporates a battery pack in conjunction with an SC for the power demands and an FC as the backup energy supply. An alternator connected to turbine blades runs by wind energy while the car is moving forward, which produces electricity through the alternator to charge the battery. The design aims to ensure zero carbon emission and improved energy efficiency, is lightweight, and incorporates in-wheel motors to eliminate the mechanical transmissions. Modeling and simulation were carried out for each subsystem using MATLAB® and Simulink® packages. ANSYS Fluent simulation was used to analyze wind energy. The standard analysis, e.g., pressure, velocity, and vector contour, were also considered while designing the final model. To regulate the power supply and demand, the selection of energy sources was controlled by a rule-based supervisory controller following a logical sequence that prioritizes energy sources with the SC as a source in-vehicle stop-and-go situations while the battery acts as the primary source, FC as a backup supply, and wind and solar power to recharge the battery. Solar charging is switched on automatically once the vehicle is parked, and the controller controls the energy flow from the alternator during that period.

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A ROS-Based Energy Management System for a Prototype Fuel Cell Hybrid Vehicle

Cited by 3 publications

References 28 publications

Optimized Energy Management Schemes for Electric Vehicle Applications: A Bibliometric Analysis towards Future Trends

Optimized Energy Management Schemes for Electric Vehicle Applications: A Bibliometric Analysis towards Future Trends

Grasped Object Weight Compensation in Reference to Impedance Controlled Robots

Systematic Modeling and Analysis of On-Board Vehicle Integrated Novel Hybrid Renewable Energy System with Storage for Electric Vehicles

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