Shoeib Heydari

ORCID: 0000-0002-1565-0132
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About
Contact & Profiles
Research Areas
  • Electric Vehicles and Infrastructure
  • Electric and Hybrid Vehicle Technologies
  • Advanced Battery Technologies Research
  • Smart Grid Energy Management
  • Microgrid Control and Optimization
  • Power System Reliability and Maintenance
  • Electric Motor Design and Analysis
  • Smart Grid Security and Resilience
  • Energy Harvesting in Wireless Networks
  • Electric Power Systems and Control
  • Power Systems and Technologies
  • Hybrid Renewable Energy Systems
  • Smart Grid and Power Systems
  • Industrial Engineering and Technologies
  • Transportation and Mobility Innovations
  • Power Systems and Renewable Energy
  • Vehicle emissions and performance

University of Nevada, Reno
2017-2022

University of Tehran
2015-2020

University of Vermont
2017

This paper introduces a novel approach for dynamically detecting the lowest speed threshold at which regenerative braking is effective in electric vehicles (EVs). The control based on real-time sensing of motor controller dc link current and disabling when changes direction while operating as generator. Various factors influencing capability EVs low are discussed, simulation studies carried out to illustrate effect each factor displacement low-speed threshold. Based results obtained from...

10.1109/tte.2019.2894942 article EN IEEE Transactions on Transportation Electrification 2019-01-24

This article proposes a novel approach to efficiently distribute braking force of an electric vehicle (EV) between friction and regenerative with ultimate goal maximizing harvested energy during braking. The performance EV depends on various factors influenced by the driver behavior driving conditions, which are challenging measure or predict in real-time. In proposed method, map traction motor (TM) its controller is used define boundary blending performed recaptured through process....

10.1109/tec.2020.2994520 article EN IEEE Transactions on Energy Conversion 2020-05-13

Utilities confront challenges to optimally plan and develop the distribution grids both for reducing their imposed costs satisfying customers' electricity needs. In this paper, optimal allocation of automatic manual sectionalizing switches as well protective devices is performed in presence load flexibilities. Control could improve duration-based reliability indices, while frequency-based indices. incentives penalties emergency demand response programs (EDRP) are determined based upon...

10.1002/etep.2537 article EN International Transactions on Electrical Energy Systems 2018-02-01

In this paper, a new approach for finding the optimal low speed regenerative braking cutoff point Electric Vehicles (EVs) is proposed. This method based on real-time sensing of motor current and disabling at speeds when falls below zero. It requires no hardware modifications to existing architecture can be implemented by modifying brake controller algorithm. The proposed tested validated an EV test bench simulation model energy consumption compared case where fixed considered speeds. results...

10.1109/icrera.2017.8191185 article EN 2017-11-01

This paper presents a state bin transition (macro)model for large homogeneous population of thermostatically controlled loads (TCLs). The energy use these TCLs is coordinated with novel bottom-up asynchronous, anonymous, and randomizing control paradigm called Packetized Energy Management (PEM). A macro-model developed then augmented timer to capture the duration consumption packets exit-ON/OFF dynamics ensure consumer quality service. PEM permits virtual power plant (VPP) operator interact...

10.1109/ciss.2017.7926078 article EN 2017-03-01

This paper discusses different factors that influence the regenerative braking capability of Electric Vehicles (EVs) at low speeds. A Low Speed Cutoff Point (LSCP) below which process is no longer effective considered as a determining factor to evaluate performance under various conditions. Different scenarios are studied and effect each scenario on displacement LSCP analyzed using an EV traction motor simulation model in MATLAB/SIMULINK. The results show deviates operating conditions should...

10.1109/itec.2018.8450260 article EN 2018-06-01

This paper focuses on finding an optimal energy-aware speed trajectory of Autonomous Electric Vehicle (AEV) considering regenerative braking capability and its limitations. A position-based (EV) energy consumption model is used to emulate vehicle-road operating conditions. It assumed that the EV driven in urban area where route only constrained by maximum limits traffic signs. The eco-driving problem formulated as a Mixed Integer Linear Programming (MILP) solved for two different case...

10.1109/itec53557.2022.9813916 article EN 2022-06-15

This paper introduces a braking strategy for dual-motor All-Wheel Drive (AWD) Electric Vehicle (EV) that maximizes energy extraction during braking. The is based on real-time sensing of each motor controller's DC link current to achieve optimum brake allocation between friction and regenerative in both axles. recaptured via the net consumption are calculated typical AWD EV using test bench simulation setup MATLAB/SIMULINK. Based results, blending carried out axle independently such overall...

10.1109/itec48692.2020.9161542 article EN 2020-06-01

In modern electric power grids, microgrids are utilized in order to improve grids' technical, economical, and environmental performance. other words, both operator consumers benefit the gained improvements by microgrids. However, operators confront certain ordeals plan operate specific microgrid. this paper, Combined Heat Power (CHP) units, renewable energy resources, auxiliary thermal units Electric Vehicles (EVs) taken into consideration as a microgrid California United States. Also,...

10.1109/sgc.2015.7857392 article EN 2015-12-01

This paper addresses the improvements gained by considering a dynamic Low Speed Cutoff Point (LSCP) as an alternative to constant LSCP for regenerative braking of Electric Vehicles (EVs), The energy harvesting improvement is studied using EV test bench simulation model in MATLAB/SIMULINK different vehicle configurations single axle and all-wheel drives. Different scenarios are on standard drive cycle each case compared with other. results proved that instead improves capability EVs...

10.1109/ecce.2018.8558324 article EN 2022 IEEE Energy Conversion Congress and Exposition (ECCE) 2018-09-01

This paper proposes a new approach for determining the low-speed boundary at which regenerative braking capability of Electric Vehicles (EVs) is still effective. The low speeds depends on many different factors influenced by driver behavior and driving conditions that are challenging to measure predict. Thus, utilizing lookup table, covers various operating conditions, can be an effective method dynamically determine this boundary. In proposed method, performance electric motor its...

10.1109/itec.2019.8790633 article EN 2019-06-01

Accomplishing highly reliable distribution grids is more and important to today's modern society. Along the same line, self‐healing one of most distinguishing features smart grid that could improve reliability system up a logical extent. In this study, electrical has been improved by optimal allocation automatic switches parking lots (PLs). Thus, places PLs are determined with purposes minimising combined effect customer‐based (system average interruption duration index) cost‐based [total...

10.1049/iet-gtd.2019.1235 article EN IET Generation Transmission & Distribution 2020-01-15

This paper proposes a new approach to maximize the harvested energy through regenerative braking process in electric vehicles (EVs) by optimal blending of and friction brakes. In proposed approach, low-speed boundary, under which capability an EV is ineffective, determined using traction motor (TM) performance map. During at low speeds, if TM operating point falls below defined it shifted on map such that utilized more effectively. A MATLAB/SIMULINK model represents vehicle used validate...

10.1109/ecce.2019.8913117 article EN 2022 IEEE Energy Conversion Congress and Exposition (ECCE) 2019-09-01

This paper discusses the effect of battery voltage level on regenerative braking capability as well overall efficiency in Electric Vehicles (EVs). The performance and system losses EVs depend various factors including level. In this study, a MATLAB/SIMULINK model an EV powertrain energy storage is utilized to simulate road load conditions analyze different levels vehicle. results applying are compared with each other from viewpoint savings total ohmic losses. show that decrease, more can be...

10.1109/peds44367.2019.8998768 article EN 2019-07-01
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