Comprehensive thermal modeling of a power-split hybrid powertrain using battery cell model

Omar, Mohammed; Pisu, Pierluigi; Alahmer, Ali; Mayyas, Ahmad; Montes, Carlos; Shan, Dongri

doi:10.1016/j.jpowsour.2011.03.036

Cited by 11 publications

(10 citation statements)

References 7 publications

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“…Though, the solver calculates the temperature nodes based on practical mode, the theoretical way of calculating node temperature is by an energy balancing equation given by Equation (2) ∑Q * = m.C p (dT/dt) -(2) [28].…”

Section: Simulation Toolmentioning

confidence: 99%

“…Because of the fact that the solver does not conjoin the fluid streams in one bounding part, a necessary breakdown for parts simulating them precisely. [25] Figure17: RadTherm Graphical User Interface Material properties, surface conditions, initial temperature were established for each cell and also other parts of the system. Fluid streams for inlet hydrogen, intake air, stack cooling fan speed were assigned and ringed with its connected geometrical parts.…”

Section: Simulation Toolmentioning

confidence: 99%

“…The TEC is considered as an exceptional cooling technique enforced to thermal operation in PEMFC to cool the bipolar plates [25]. The FC model is compounded with a custommade thermoelectric cooling system.…”

Section: Working Principlementioning

confidence: 99%

See 2 more Smart Citations

Cooling strategy for effective automotive power trains: 3D thermal modeling and multi-faceted approach for integrating thermoelectric modules into proton exchange membrane fuel cell stack

Mayyas

Ramani

Kannan

et al. 2014

International Journal of Hydrogen Energy

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Current hybrid vehicle and/or Fuel Cell Vehicle (FCV) use both FC and an electric system. The sequence of the electric power train with the FC system is intended to achieve both better fuel economies than the conventional vehicles and higher performance. Current hybrids use regenerative braking technology, which converts the vehicles kinetic energy into electric energy instead of wasting it. A hybrid vehicle is much more fuel efficient than conventional Internal Combustion (IC) engine and has less environmental impact.The new hybrid vehicle technology with it's advanced with configurations (i.e.Mechanical intricacy, advanced driving modes etc) inflict an intrusion with the existing Thermal Management System (TMS) of the conventional vehicles. This leaves for the opportunity for now thermal management issues which needed to be addressed. Till date, there has not been complete literature on thermal management issued of FC vehicles. The primary focus of this dissertation is on providing better cooling strategy for the advanced power trains. One of the cooling strategies discussed here is the thermo-electric modules.The 3D Thermal modeling of the FC stack utilizes a Finite Differencing heat approach method augmented with empirical boundary conditions is employed to develop 3D thermal model for the integration of thermoelectric modules with Proton Exchange Membrane fuel cell stack. Hardware-in-Loop was designed under pre-defined drive cycle to obtain fuel cell performance parameters along with anode and cathode gas flow-rates and surface temperatures. The FC model, combined experimental and finite differencing nodal net work simulation modeling approach which implemented heat generation across the stack to depict the chemical composition process. The structural ii and temporal temperature contours obtained from this model are in compliance with the actual recordings obtained from the infrared detector and thermocouples. The Thermography detectors were set-up through dual band thermography to neutralize the emissivity and to give several dynamic ranges to achieve accurate temperature measurements. The thermocouples network was installed to provide a reference signal.The model is harmonized with thermo-electric modules with a modeling strategy, which enables optimize better temporal profile across the stack. This study presents the improvement of a 3D thermal model for proton exchange membrane fuel cell stack along with the interfaced thermo-electric module. The model provided a virtual environment using a model-based design approach to assist the design engineers to manipulate the design correction earlier in the process and eliminate the need for costly and time

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Section: Simulation Toolmentioning

confidence: 99%

Section: Simulation Toolmentioning

confidence: 99%

See 1 more Smart Citation

Cooling strategy for effective automotive power trains: 3D thermal modeling and multi-faceted approach for integrating thermoelectric modules into proton exchange membrane fuel cell stack

Mayyas

Ramani

Kannan

et al. 2014

International Journal of Hydrogen Energy

Self Cite

View full text Add to dashboard Cite

show abstract

“…The research utilizes a finite differencing algorithm (commercial name Rad‐Therm, product of Thermo‐Analytic Inc.). The model is complemented with boundary conditions (current, voltage, SOC, and temperature) through a set of designed experiments that uses a Prius third‐generation power train running under standard and artificial driving schedules (ADSs) .…”

Section: Research Approachmentioning

confidence: 99%

Thermal modeling of an on-board nickel-metal hydride pack in a power-split hybrid configuration using a cell-based resistance-capacitance, electro-thermal model

Omar

Pisu

Mayyas

et al. 2011

Int. J. Energy Res.

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SUMMARY Presented study discusses the development of a finite differencing (FD) thermal model for a power‐split hybrid configuration employing a nickel‐metal hydride battery pack. A resistance–capacitance electro‐thermal model is used to couple the experimental boundary conditions (current, voltage, state of charge, and temperature) with the modeled battery resistance to capture its electro‐chemical behavior and the cell exothermic reactions. Battery current, voltage, and temperature (discrete and full field) for a vehicle with a power‐split hybrid configuration were collected under different standard (Federal Highway Driving Schedule and Federal Urban Dynamometer Driving Schedule (FUDS)) and artificially generated driving cycles. This manuscript analyzes the battery current and voltage in relation to vehicle speed and shows how the proposed FD model predicts the spatial and temporal temperature profiles of the power train in good agreement with the vehicle data as reported by the on‐board diagnostics module. Copyright © 2011 John Wiley & Sons, Ltd.

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“…However, power and energy demand in EVs is high and the voltage of battery packs in EVs is normally above 300 V, thus battery cells are required to connect in series (or parallel) to form a battery pack for meeting energy and power demand. For those serially connected cells, an imbalance of state of charge (SOC) will occur [2,3]. As a consequence, the cells in the pack cannot reach the fully charged states simultaneously.…”

Section: Introductionmentioning

confidence: 99%

A Novel Active Online State of Charge Based Balancing Approach for Lithium-Ion Battery Packs during Fast Charging Process in Electric Vehicles

et al. 2017

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Non-uniformity of Lithium-ion cells in a battery pack is inevitable and has become the bottleneck to the pack capacity, especially in the fast charging process. Therefore, a balancing approach is essentially required. This paper proposes an active online cell balancing approach in a tfast charging process using the state of charge (SOC) as balancing criterion. The goal of this approach is to complete pack balancing within the limited charging time. An adaptive extended Kalman filter (AEKF) is applied to estimate the pack cell SOC during the charging process to obtain accurate results under modeling errors and measurement noises. To implement the proposed AEKF, only one additional current sensor is required to obtain the current of each cell required for the SOC estimation. An experimental platform is established to verify the effectiveness of the proposed approach. The results show that the proposed balancing approach with the SOC as a balancing criterion can overcome the challenges of non-uniformity and flat voltage plateau and charge more capacity into a LiFePO 4 battery pack than those with the terminal voltage as a balancing criterion in the fast charging process.Keywords: lithium-ion battery pack; the active cell balancing for battery packs; fast charging with balancing; electric vehicles; adaptive extended Kalman filter; pack SOC estimation Highlights:• Adaptive extended Kalman filter (AEKF) is employed to estimate the pack cell state of charge (SOC) in real time, which is used as a balancing criterion to equalize cells in a LiFePO 4 battery pack in the fast charging process.• Only one additional current sensor in the chosen balancing circuit is required to accurately estimate pack cell SOC, leading to low cost implementation.• Balancing in the fast charging process based on online estimated SOC overcomes non-uniformity and allows more pack capacity to be charged. •Experimental platform is established to demonstrate that the performances based on the SOC criterion is better than those based on the terminal voltage criterion in terms of extra charged capacity of 2.07 Ah, equivalent to 13% of the nominal capacity of the chosen battery pack.

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Comprehensive thermal modeling of a power-split hybrid powertrain using battery cell model

Cited by 11 publications

References 7 publications

Cooling strategy for effective automotive power trains: 3D thermal modeling and multi-faceted approach for integrating thermoelectric modules into proton exchange membrane fuel cell stack

Cooling strategy for effective automotive power trains: 3D thermal modeling and multi-faceted approach for integrating thermoelectric modules into proton exchange membrane fuel cell stack

Thermal modeling of an on-board nickel-metal hydride pack in a power-split hybrid configuration using a cell-based resistance-capacitance, electro-thermal model

A Novel Active Online State of Charge Based Balancing Approach for Lithium-Ion Battery Packs during Fast Charging Process in Electric Vehicles

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