Influence of the temperature on energy management in battery-ultracapacitor electric vehicles

Demircali, Akif; Sergeant, Peter; Köroğlu, Selim; Kesler, Selami; Öztürk, Erkan; Tumbek, Mustafa

doi:10.1016/j.jclepro.2017.12.066

Cited by 36 publications

(17 citation statements)

References 19 publications

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“…Therefore, a simple serial equivalent circuit model is used as the battery model. Similarly, the resistive‐parallel (RC) parallel branch model is used in the modeling of the UC as described by Demircali et al in detail. The battery used is lithium‐ion‐based Samsung 18650 model and the UC is the BCAP0650 product of Maxwell company .…”

Section: Electric Vehicle Modelmentioning

confidence: 99%

“…Some definitions and parameters of the battery and UC used in this study are given in Table . The losses of the motors and drivers used in the vehicle are included in the EV model and details of the modeling are available in the work of Demircali et al However, in this study, unlike Reference , the effect of temperature change is not considered for all the modeling situations. In other words, the temperature is kept constant in all the simulations.…”

Section: Electric Vehicle Modelmentioning

confidence: 99%

“…The use of high‐energy‐density battery together with high‐power‐density UC is one of the most preferred configurations. Thus, a more efficient, reliable, and long‐lasting energy source is obtained . At this point, there is a need for an energy management system (EMS) that ensures proper coordination between battery and UC, and to keep efficiency at the highest level.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, a more efficient, reliable, and long-lasting energy source is obtained. 4,5 At this point, there is a need for an energy management system (EMS) that ensures proper coordination between battery and UC, and to keep efficiency at the highest level. The EMS should meet the energy requirements of the driver optimally from the storage units, and should be real time applicable at the same time.…”

Section: Introductionmentioning

confidence: 99%

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Jaya algorithm‐based energy management system for battery‐ and ultracapacitor‐powered ultralight electric vehicle

Demircali

Köroğlu

2020

Int J Energy Res

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Summary To improve the driving performance of the electric vehicles, batteries or ultracapacitors (UCs) are frequently preferred in the energizing systems. In hybrid structures with multiple supply sources, an energy management system (EMS) is needed to improve the system efficiency, and to provide the optimum power sharing between a battery and a UC. The purpose of this study is to investigate the effectiveness of the Jaya optimization method for the urban use of the EMS of an ultralight electric vehicle powered by battery/UC. The performance of the proposed method is compared with dynamic programming (DP) that is one of the global optimization methods and particle swarm optimization (PSO) that is one of the other heuristic methods for real‐time applications. The simulation results show that Jaya‐EMS approached 3.1% to the DP, which yields the optimum result with respect to the total energy loss. In addition, the proposed method yields a loss of less than 1.9% from the PSO‐EMS. If all the above situations are considered, the proposed EMS method has less lossy alternative solution for the real‐time applications.

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Section: Electric Vehicle Modelmentioning

confidence: 99%

Section: Electric Vehicle Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Jaya algorithm‐based energy management system for battery‐ and ultracapacitor‐powered ultralight electric vehicle

Demircali

Köroğlu

2020

Int J Energy Res

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“…To overcome this issue, more than one ESS used in EV which is named as Hybrid ESS (HESS) [4]. Here, the proper energy storage system over the vehicles are must, because of the environmental concerns and price of the petroleum [5]. In an electric vehicle, batteries are used as a main energy storage component for providing the energy and power demand of the car [6].…”

Section: Introductionmentioning

confidence: 99%

Power Management Strategy for Hybrid Energy Storage System in Hybrid Electric Vehicles

Komarappa¹,

Lakshmikantha²

2019

IJIES

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Energy Storage System (ESS) is an essential component in the Electric Vehicles (EVs) because of its high power and high energy density. In Hybrid Electric Vehicles (HEVs), the Hybrid ESS (HESS) is introduced to resolve the problem occurs due to single energy storage system. This HESS is utilized for achieving high power and energy simultaneously. In this paper, the HESS is used in HEVs to improve energy management over the vehicles. The HESS is the combination of battery and Ultra-Capacitor (UC). Here the Nickel-Metal Hydride (NiMH) battery is used as a primary energy source and UC is used as a secondary energy source. The energy management over the HEVs made by an effective Artificial Neural Network (ANN) based controller which is utilized for handling the charging and discharging operation of the ultra-capacitor. The operating mode of UC using ANN is mainly based on the State of Charge (SOC) from the battery at each iteration. The UC is on, when the SOC of the battery is less than 60%, it shows that the battery does not have the capacity to achieve the load requirement of Permanent Magnet Synchronous Motor (PMSM). The performance of the proposed system analysed in terms of speed, torque and current. Then it evaluated by using the system with ANN and without ANN. The motor speed and vehicle speed of the HEV with ANN at 70 Sec improved 8% and 9.38%, respectively compared to the HEV without ANN.

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Experimental investigation of thermal management system for lithium ion batteries module with coupling effect by heat sheets and phase change materials

Zhang

et al. 2018

Int J Energy Res

107

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Summary Some potential safety risks for lithium ion battery such as overheating, combustion, and explosion occurred in practical application may cause accidents of electric vehicles. Phase change material (PCM)‐based thermal management system was demonstrated as a feasible approach. However, the batteries have to endure various environment and climate, which would not work normally under cold area. Especially when the surrounding temperature falls to below 10°C, which can bring about the energy and power of Li‐ion batteries rapidly reducing. In this study, a coupling heating strategy of the PCM‐based batteries module with 2 heat sheets at low temperature was proposed for batteries module and cannot only balance the temperature among different batteries in the module but also ensure to pre‐heat the batteries module at low temperature. The experiment displayed that 7% of EG in paraffin‐based composite PCMs was the best proportion for batteries module, considering both fluidity and thermal conductivity factors. In addition, the temperature difference of PCM‐based batteries module was 2.82°C, while that of the air‐based one was 14.49°C, which was 5 times more than former, exhibiting an excellent performance in balancing temperature uniformly, and was beneficial for prolonging the lifespan of batteries. The coupling heating strategy‐based PCM with heat sheets provided as an extremely promising technology for lithium batteries module at low temperature.

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Influence of the temperature on energy management in battery-ultracapacitor electric vehicles

Cited by 36 publications

References 19 publications

Jaya algorithm‐based energy management system for battery‐ and ultracapacitor‐powered ultralight electric vehicle

Jaya algorithm‐based energy management system for battery‐ and ultracapacitor‐powered ultralight electric vehicle

Power Management Strategy for Hybrid Energy Storage System in Hybrid Electric Vehicles

Experimental investigation of thermal management system for lithium ion batteries module with coupling effect by heat sheets and phase change materials

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