Battery performance models in ADVISOR

Johnson, Valerie H.

doi:10.1016/s0378-7753(02)00194-5

Cited by 540 publications

(233 citation statements)

References 1 publication

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“…Since we don't have specific driving tests for HEAVs, for the selected third order 3RC EMC validation purpose we compare the results of the tests using a particular battery integrated in an Advanced Vehicle Simulator (ADVISOR) MATLAB platform, developed by US National Renewable Energy Laboratory (NREL) [12]. The NREL LiIon battery model approximates with high accuracy the Li-Ion battery model 6Ah and nominal voltage of 3.6V, manufactured by the company SAFT America, as is mentioned also in [11 -12].…”

Section: Rc Emc Li-ion Battery Validation Modelmentioning

confidence: 99%

On-Board State-of-Charge Estimation of Li-Ion Battery in Hybrid Electric Aircraft Vehicles Using State Estimators – Case Study

Tudoroiu¹,

Radu²

2018

AFASES 2018

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Section: Rc Emc Li-ion Battery Validation Modelmentioning

confidence: 99%

On-Board State-of-Charge Estimation of Li-Ion Battery in Hybrid Electric Aircraft Vehicles Using State Estimators – Case Study

Tudoroiu¹,

Radu²

2018

AFASES 2018

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“…The equivalent circuit models mainly used are the Rint, Thevenin, and PNGV models [27]. The Rint model, which is shown in Figure 7, is selected in this study [28]. …”

Section: Battery Modelmentioning

confidence: 99%

Optimization of Key Parameters of Energy Management Strategy for Hybrid Electric Vehicle Using DIRECT Algorithm

Hao

Zhao

et al. 2016

Energies

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Abstract:The rule-based logic threshold control strategy has been frequently used in energy management strategies for hybrid electric vehicles (HEVs) owing to its convenience in adjusting parameters, real-time performance, stability, and robustness. However, the logic threshold control parameters cannot usually ensure the best vehicle performance at different driving cycles and conditions. For this reason, the optimization of key parameters is important to improve the fuel economy, dynamic performance, and drivability. In principle, this is a multiparameter nonlinear optimization problem. The logic threshold energy management strategy for an all-wheel-drive HEV is comprehensively analyzed and developed in this study. Seven key parameters to be optimized are extracted. The optimization model of key parameters is proposed from the perspective of fuel economy. The global optimization method, DIRECT algorithm, which has good real-time performance, low computational burden, rapid convergence, is selected to optimize the extracted key parameters globally. The results show that with the optimized parameters, the engine operates more at the high efficiency range resulting into a fuel savings of 7% compared with non-optimized parameters. The proposed method can provide guidance for calibrating the parameters of the vehicle energy management strategy from the perspective of fuel economy.

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“…Actually, Q is small enough that it could be neglected [33]. Besides, the sum of Q and Q could be replaced by the heat produced by the equivalent resistance R [34]. In summary, the total heat generated by Li-ion battery during its working process could be simplified as Equation (5) shows.…”

Section: Battery Heat Generation Mechanism and Thermal Modelmentioning

confidence: 99%

An Optimized Energy Management Strategy for Preheating Vehicle-Mounted Li-Ion Batteries at Subzero Temperatures

Zhu

Min

et al. 2016

Preprint

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This paper presents an optimized energy management strategy for Li-ion power batteries used on electric vehicles (EVs) at low temperatures. Under low-temperature environments, EVs suffer a sharp driving range loss resulted from the energy and power capability reduction of the battery. Simultaneously, because of Li plating, battery degradation becomes an increasing concern as temperature drops. All these factors could greatly increase the total vehicle operation cost. Prior to battery charging and vehicle operating, preheating battery to a battery-friendly temperature is an approach to promote energy utilization and reduce total cost. Based on the proposed LiFePO4 battery model, the total vehicle operation cost under certain driving cycles is quantified in the present paper. Then given a certain ambient temperature, a target temperature of preheating is optimized under the principle of minimizing total cost. As for the preheating method, a liquid heating system is also implemented on an electric bus. Simulation results show that the preheating process becomes increasingly necessary with a decreasing ambient temperature; however, the preheating demand declines as driving range grows. Vehicle tests verify that the preheating management strategy proposed in this paper is able to save total vehicle operation cost.

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Battery performance models in ADVISOR

Cited by 540 publications

References 1 publication

On-Board State-of-Charge Estimation of Li-Ion Battery in Hybrid Electric Aircraft Vehicles Using State Estimators – Case Study

On-Board State-of-Charge Estimation of Li-Ion Battery in Hybrid Electric Aircraft Vehicles Using State Estimators – Case Study

Optimization of Key Parameters of Energy Management Strategy for Hybrid Electric Vehicle Using DIRECT Algorithm

An Optimized Energy Management Strategy for Preheating Vehicle-Mounted Li-Ion Batteries at Subzero Temperatures

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