Energy management in a parallel hybrid electric vehicle with a continuously variable transmission

Bowles, P.; Peng, Huei; Zhang, X.

doi:10.1109/acc.2000.878771

Cited by 33 publications

(31 citation statements)

References 2 publications

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“…For example, in Kheir et al [7] an attempt is made to balance fuel usage and emissions as a performance index, with the PSAT rule-based controller being used for comparison. Bowles et al [8] established an inverse hybrid vehicle model via Matlab/Simulink. Interest in hybrid vehicle simulation grew in the 1970's with the development of several prototypes that were used to collect a considerable amount of test data on the performance of hybrid drive trains [11].…”

Section: Methodology and Justificationmentioning

confidence: 99%

“…The results can be used to optimize the design cycle of hybrid vehicles by testing configurations and energy management strategies before prototype construction begins. Power flow management, optimization of the fuel economy, and reduction of emissions using intelligent control systems are part of the current research [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. For example, in Kheir et al [7] an attempt is made to balance fuel usage and emissions as a performance index, with the PSAT rule-based controller being used for comparison.…”

Section: Methodology and Justificationmentioning

confidence: 99%

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Development of a software platform for a plug-in hybrid electric vehicle simulator

et al. 2011

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Electricity use for transportation has had limited applications because of battery storage range issues, although many recent successful demonstrations of electric vehicles have been achieved. Renewable biofuels such as biodiesel and bioethanol also contribute only a small percentage of the overall energy mix for mobility. Recent advances in hybrid technologies have significantly increased vehicle efficiencies. More importantly, hybridization now allows a significant reduction in battery capacity requirements compared to pure electric vehicles, allowing electricity to be used in the overall energy mix in the transportation sector. This paper presents an effort made to develop a Plug-in Hybrid Electric Vehicle (PHEV) platform that can act as a comprehensive alternative energy vehicle simulator. Its goal is to help in solving the pressing needs of the transportation sector, both in terms of contributing data to aid policy decisions for reducing fossil fuel use, and to support research in this important area. The Simulator will allow analysing different vehicle configurations, and control strategies with regards to renewable and non-renewable fuel and electricity sources. The simulation platform models the fundamental aspects of PHEV components, that is, process control, heat transfer, chemical reactions, thermodynamics and fluid properties. The outcomes of the Simulator are: (i) determining the optimal combination of fuels and grid electricity use, (ii) performing greenhouse gas calculations based on emerging protocols being developed, and (iii) optimizing the efficient and proper use of renewable energy sources in a carbon constrained world.

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Section: Methodology and Justificationmentioning

confidence: 99%

Section: Methodology and Justificationmentioning

confidence: 99%

Development of a software platform for a plug-in hybrid electric vehicle simulator

et al. 2011

View full text Add to dashboard Cite

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“…The equivalent fuel efficiency is the value of the total distance divided by fuel consumption, including both the fossil fuel used by the ICE and the electrical energy by the EM and ISG. A conventional HEV evaluates fuel efficiency from the assumption that the initial and final battery states of charge (SOCs) are the same [18]. However, a PHEV does not sustain the SOC.…”

Section: Mode Transition Algorithmmentioning

confidence: 99%

“…While a PHEV runs in EV mode using the electrical energy of an EM in the CD condition, the vehicle runs A conventional HEV evaluates fuel efficiency from the assumption that the initial and final battery states of charge (SOCs) are the same [18]. However, a PHEV does not sustain the SOC.…”

Section: Mode Transition Algorithmmentioning

confidence: 99%

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A Control Strategy for Mode Transition with Gear Shifting in a Plug-In Hybrid Electric Vehicle

Sim¹,

Oh²,

Kang³

et al. 2017

Energies

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Abstract:The mode transition from electric propulsion mode to hybrid propulsion mode is important with regard to the power management strategy of plug-in hybrid electric vehicles (PHEVs). This is because mode transitions can occur frequently depending on the power management strategies and driving cycles, and because inadequate mode transitions worsen the fuel efficiency and drivability. A pre-transmission parallel PHEV uses a clutch between the internal combustion engine (ICE) and the electric motor (EM) to connect or disconnect the power source of the ICE for a mode transition. The mode transition requires additional energy consumption for clutch speed synchronization, and is accompanied by a drivetrain shock due to clutch engagement. This paper proposes a control strategy for the mode transition with gear-shifting to resolve the problems of energy consumption and drivetrain shock. Through the development of a PHEV performance simulator, we analyze the mode transition characteristics and propose a control strategy considering the vehicle acceleration and gear state. The control strategy reduces the duration required for the mode transition by moving the start time of the mode transition. This helps to improve energy efficiency while maintaining adequate drivability.

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Review on multi‐power sources dynamic coordinated control of hybrid electric vehicle during driving mode transition process

et al. 2020

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Summary Aiming at the problem of torque coordinated control between motor with high‐frequency response and engine with low‐frequency response of hybrid electric vehicle (HEV) during mode transition process, the mechanism of its coordinated control problem is deeply explored, and the essence of dynamic coordinated control strategy (DCCS) through torque coupling analysis is also revealed, namely, motor torque compensation control. Then a series of domestic and international researches on multi‐power sources coordinated control are systematically summarized from the establishment of electromechanical transmission (EMT) system model, mode switching process analysis, engine‐clutch‐motor coordinated control strategy based on torque estimation and speed feedback tracking, as well as the controller robustness analysis under system parameter perturbation and external disturbance. Finally, the key issues on the rapidity, adaptability, and experiment of torque coordination control which need to be solved in the subsequent researches are pointed out clearly.

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Energy management in a parallel hybrid electric vehicle with a continuously variable transmission

Cited by 33 publications

References 2 publications

Development of a software platform for a plug-in hybrid electric vehicle simulator

Development of a software platform for a plug-in hybrid electric vehicle simulator

A Control Strategy for Mode Transition with Gear Shifting in a Plug-In Hybrid Electric Vehicle

Review on multi‐power sources dynamic coordinated control of hybrid electric vehicle during driving mode transition process

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