Thermal Model Development and Validation for 2010 Toyota Prius

Kim, Nam Wook; Rousseau, Aymeric; Lee, Daeheung; Lohse-Busch, Henning

doi:10.4271/2014-01-1784

Cited by 20 publications

(11 citation statements)

References 8 publications

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“…In this section, a physics-based HEV model is described according to the power split configuration of Toyota Hybrid System (THS [11], [12]), including the power and thermal loops, and validated against the experimental data collected from our 2017 Prius test vehicle. The overall schematic of the power split HEV for heating scenario is shown in Fig.…”

Section: Control-oriented I-ptm System Modelingmentioning

confidence: 99%

“…where f f uel,map denotes the nominal fuel consumption characterized by a map with engine speed ω e and torque τ e as the inputs, and f cl,map (T cl ) is the correction factor reflecting the cold coolant temperature impact on the fuel consumption map. The look-up table adopted from Autonomie simulation software library and calibrated by Argonne National Laboratory [12] is shown in Fig. 2.…”

Section: B Engine Thermal Transients Modelmentioning

confidence: 99%

“…In such a case, we assume that the given heating power demand can be relaxed as long as the cabin temperature is maintained within the desired range. The cost function (12) can be further extended with the state of the cabin temperature (T cab,k ) and the additional control variable of heating power (Q heat,k ). The control inputQ heat,k can be converted to physical control variables based on model (9).…”

Section: A Problem Formulationmentioning

confidence: 99%

See 2 more Smart Citations

Integrated optimization of Power Split, Engine Thermal Management, and Cabin Heating for Hybrid Electric Vehicles

Gong

Wang

Amini

et al. 2019

2019 IEEE Conference on Control Technology and Applications (CCTA)

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Cabin heating demand and engine efficiency degradation in cold weather lead to considerable increase in fuel consumption of hybrid electric vehicles (HEVs), especially in congested traffic conditions. This paper presents an integrated power and thermal management (i-PTM) scheme for the optimization of power split, engine thermal management, and cabin heating of HEVs. A control-oriented model of a power split HEV, including power and thermal loops, is developed and experimentally validated against data collected from a 2017 Toyota Prius HEV. Based on this model, the dynamic programming (DP) technique is adopted to derive a bench-mark for minimal fuel consumption, using 2-dimensional (power split and engine thermal management) and 3-dimensional (power split, engine thermal management, and cabin heating) formulations. Simulation results for a real-world congested driving cycle show that the engine thermal effect and the cabin heating requirement can significantly influence the optimal behavior for the power management, and substantial potential on fuel saving can be achieved by the i-PTM optimization as compared to conventional power and thermal management strategies.

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Section: Control-oriented I-ptm System Modelingmentioning

confidence: 99%

Section: B Engine Thermal Transients Modelmentioning

confidence: 99%

Section: A Problem Formulationmentioning

confidence: 99%

See 1 more Smart Citation

Integrated optimization of Power Split, Engine Thermal Management, and Cabin Heating for Hybrid Electric Vehicles

Gong

Wang

Amini

et al. 2019

2019 IEEE Conference on Control Technology and Applications (CCTA)

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“…One issue that arises from this additional capability is that the engine might not provide enough waste heat to warm up a passenger compartment or the powertrain components, including the engine itself. [1] Because of that, the electrified vehicles may suffer from the inefficient operation of the powertrain components under very cold ambient temperatures [2]- [3]. For instance, Figure 1 compares the energy consumption results for four types of electrified vehicles; they were obtained from chassis dynamometer tests done at different ambient room temperatures.…”

Section: Introductionmentioning

confidence: 99%

“…Also, the laboratory has been conducting various studies to improve fuel efficiency by optimizing the control algorithm or the vehicle parameters. In recent years, Argonne has been adding value by improving the model's fidelity, and one ongoing effort is to develop the vehicle's thermal management system [1]. This brief provides information about the entire process -conducting the tests, analyzing the test data, and developing the vehicle model -so that the process can be used in other studies.…”

Section: Introductionmentioning

confidence: 99%

Thermal Model Developments for Electrified Vehicles

Kim

Rousseau

2015

WEVJ

Self Cite

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Argonne National Laboratory has analyzed the control behavior of advanced vehicles, such as hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), and battery electric vehicles (BEVs), to develop simulation models and to reproduce the performance of vehicles with simulation techniques. Since many of the novel and advanced studies about transportation technologies done at Argonne use these simulation techniques, they must be well-validated to conduct and support these studies. To improve its research ability, Argonne built a new testing facility that can test vehicles under different thermal conditions (e.g., -7°C or 35°C), and it has analyzed the controls and performance of several advanced vehicles under these conditions.Further, Argonne has used the analyzed results to develop thermal component models that reproduce the thermal behavior of the vehicles. A main reason to develop thermal models is that the thermal conditions have such a significantly large impact on vehicle performance, especially with regard to advanced vehicles like HEVs or PHEVs. For instance, engine and battery efficiencies must decrease at low temperatures since the battery might not be able to provide enough power if it is very cold. Moreover, the climate control system still has a great demand for additional energy under very cold weather conditions even if the engine is not operating at all. The test data obtained from Argonne's Advanced Powertrain Research Facility (APRF) are analyzed in order to understand the thermal impacts on controls and performance, and the thermal models are developed based on the analyzed results and validated with the test data. In comparative studies, the simulation models have been found to reproduce fuel consumption that is very close to the fuel consumption obtained from the tests.

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Multihorizon Model Predictive Control: An Application to Integrated Power and Thermal Management of Connected Hybrid Electric Vehicles

Amini

Kolmanovsky

et al. 2022

IEEE Trans. Contr. Syst. Technol.

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This paper explores the synergies between integrated power and thermal management (iPTM) and battery charging in an electric vehicle (EV). A multi-objective model predictive control (MPC) framework is developed to optimize the fast charging performance while enforcing the constraints in the power and thermal loops. The approach takes into account the coupling of the battery and cabin thermal management. The case study of a commercial EV demonstrates that the proposed method can effectively meet the requirements of fast charging and thermal management when accurate preview information is available. However, failure to predict the charging event can result in performance degradation with longer charging time. A time-varying weighting strategy is proposed to enhance charging performance in the presence of uncertainty. This strategy leverages the battery state-of-charge (SOC) and adjusts the priority of the multi-objective MPC at different phases during charging. Simulated results using a commercial EV use case show improved robustness in charging time using the proposed strategy.

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Thermal Model Development and Validation for 2010 Toyota Prius

Cited by 20 publications

References 8 publications

Integrated optimization of Power Split, Engine Thermal Management, and Cabin Heating for Hybrid Electric Vehicles

Integrated optimization of Power Split, Engine Thermal Management, and Cabin Heating for Hybrid Electric Vehicles

Thermal Model Developments for Electrified Vehicles

Multihorizon Model Predictive Control: An Application to Integrated Power and Thermal Management of Connected Hybrid Electric Vehicles

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