A Prognostic Based Control Framework for Hybrid Electric Vehicles

Hoang, Phuong H.; Özkan, Gökhan; Badr, Payam Ramezani; Timilsina, Laxman; Edrington, Chris S.

doi:10.4271/2022-01-0352

Cited by 11 publications

(12 citation statements)

References 7 publications

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“…The DF's predicted result (i.e., the degradation rate cost) is used to adjust the EM's optimization problem to reduce the battery's degradation without compromising the vehicle's functioning. The proposed strategy can be applied to other applications, such as DC microgrids, as done in [5]. Finally, the proposed strategy is validated through numerical simulations and controller-hardwarein-the-loop (CHIL) experimentation, demonstrating the proposed strategy's cost-saving benefits.…”

Section: A Statement Of Contributionsmentioning

confidence: 96%

“…Power electronics are particularly important and need to be improved to improve EV efficiency and reliability [4]. Costs associated with energy storage, charging infrastructure, and the dependability of electrical sources throughout operation are a few of these restrictions [5]. Among these, the energy storage system (ESS) expenses are viewed as a key barrier to the competitiveness of electric cars compared to gasoline-powered vehicles.…”

Section: Introductionmentioning

confidence: 99%

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A Real-Time Prognostic-Based Control Framework for Hybrid Electric Vehicles

Timilsina,

Hoang,

Moghassemi

et al. 2023

IEEE Access

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The increasing popularity of electric vehicles is driven by their compatibility with sustainable energy goals. However, the decline in the performance of energy storage systems, such as batteries, due to their degradation puts electric vehicles and hybrid electric vehicles at a disadvantage compared to traditional internal combustion engine vehicles. This paper presents a prognostic-based control framework for hybrid electric vehicles to reduce the cost of operating hybrid electric vehicles by considering the degradation of energy storage systems. The strategy utilizes a degradation forecasting model of electrical components to predict their degradation pattern and uses the prediction to control hybrid electric vehicles via their energy management systems to reduce the degradation of components. A real-time controller hardware-in-the-loop is set up to run the proposed strategy. An hybrid electric vehicle model is developed on Typhoon (i.e., a real-time simulator), which is connected to two layers, energy management and degradation forecasting layer, deployed in Raspberry Pis, respectively. All these components are communicated through CAN

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Section: A Statement Of Contributionsmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

A Real-Time Prognostic-Based Control Framework for Hybrid Electric Vehicles

Timilsina,

Hoang,

Moghassemi

et al. 2023

IEEE Access

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“…However, this particular study focuses on the deterioration of the power-generating sources used in HEVs. While internal combustion engines (ICE) can also degrade, batteries are especially susceptible to degradation [1]. This study focuses on battery degradation due to the prevalent use of HEVs with high hybridization factors (HF), which utilize batteries with larger capacities that can represent up to 30% of the total vehicle cost [11].…”

Section: Degradation Modeling and Predictionmentioning

confidence: 99%

“…Despite electrified vehicles' advantages, their widespread adoption faces hurdles, notably high energy storage (ES) costs, limited charging infrastructure, and electrical source reliability [1]. ES expenses, particularly battery costs, represent a significant barrier, constituting around 30% of an electric vehicle's total cost [2].…”

Section: Introductionmentioning

confidence: 99%

A Real-time Degradation Abatement Technique in Hybrid Electric Vehicle using Data-Driven Methods

Timilsina,

Hoang,

Moghassemi

et al. 2023

Preprint

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“…Moreover, the efficiency and power density of power electronic-based systems have risen due to the recent developments in circuit configuration, novel control strategies, novel semiconductor materials, DSPs, and system integration technologies [2]. These latest advancements in power electronics have contributed to the development of sustainable and affordable renewable energy-based sources [3], robust, reliable, and high-quality distributed electrical grid [4], [5], [6], [7], efficient and low-cost electric vehicles (EV) [8], [9], low-fuel-consumption cargo ships, more electric aircraft (MEA) [10], electric motorbikes, electric cars [11], [12], robust high-speed trains, efficient subways with regenerative breaking, public electric buses, and so on [13]. In recent years, the transportation sector, aerospace industries, and energy sectors have extended the requirements regarding the reliability of power electronic systems.…”

mentioning

confidence: 99%

Emerging Trends and Challenges in Thermal Management of Power Electronic Converters: A State of the Art Review

Rahman,

Moghassemi,

Arsalan

et al. 2024

IEEE Access

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Recently, the thermal management of power electronic converters has gained significant attention due to the continuous trend of developing very compact power electronic converters with high power density. With the evolution of power semiconductor devices, high operating temperatures and large thermal cycles have become possible, necessitating a significant improvement in thermal system designs. Researchers have made significant efforts to develop effective thermal management systems for improving the reliability and lifetime of power electronic converters. This article intends to present a thorough review of thermal management systems employed in power electronics cooling. The applied thermal management techniques have been reviewed from the perspective of electrical parameter regulation and heat dissipation control. Regulation of electrical parameters involves active thermal control, which is a method for controlling junction temperature and thermal cycling of power semiconductor devices. The active thermal control implementation processes reviewed in this article consist of increasing overload capacity, manipulating switching and conduction losses, employing modified modulation process, balancing thermal stress at the converter level, and controlling thermal stress at the system level. Control of heat dissipation can be achieved through direct and indirect cooling of power electronic converters with air or liquid as the coolant. The effectiveness and implementation methods of these cooling techniques, such as channel cooling, phase change material-based cooling, immersion cooling, jet impingement and spray cooling, are reviewed in this paper. Moreover, performance-enhancing ideas and challenges for these techniques are discussed. The primary objective of this review paper is to bridge the existing gap in the literature by offering a comprehensive comparison of commonly employed thermal management techniques. INDEX TERMSActive thermal control (ATC), Power semiconductor device (PSD), Microchannel, Spray cooling, Jet impingement, Immersion cooling, Phase change material (PCM), and Active cooling.

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A Prognostic Based Control Framework for Hybrid Electric Vehicles

Cited by 11 publications

References 7 publications

A Real-Time Prognostic-Based Control Framework for Hybrid Electric Vehicles

A Real-Time Prognostic-Based Control Framework for Hybrid Electric Vehicles

A Real-time Degradation Abatement Technique in Hybrid Electric Vehicle using Data-Driven Methods

Emerging Trends and Challenges in Thermal Management of Power Electronic Converters: A State of the Art Review

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