An Optimal Gear Shifting Strategy for Minimizing Fuel Consumption Based on Engine Optimum Operation Line

Nikzadfar, Kamyar; Bakhshinezhad, Nima; MirMohammadSadeghi, S. Ali; Ledari, Hossein Taheri; Fathi, Alireza

doi:10.4271/2019-01-5055

Cited by 11 publications

(8 citation statements)

References 16 publications

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“…Additionally, a PI controller as a driver has been employed that determines acceleration and brake pedal to follow the desired velocity profile and also clutch release, based on current gear and desired gear. The gear shifting strategy is set based on the near optimal gear shifting strategy [32]. The engine is attached to a frictional clutch, which is limited by maximum assignable torque and according to clutch release signal and rotational input-output speed difference, transferable torque is calculated.…”

Section: Vehiclementioning

confidence: 99%

A Model-Based Investigation of Electrically Split Turbocharger Systems Capabilities to Overcome the Drawbacks of High-Boost Downsized Engines

2022

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Engine downsizing is one the most common methods of coping with strict emission regulations. However, it must be coupled with complementary systems so that the engine performance would meet the standards. That is why new efficient solutions can pave the way toward this goal. The electric forced-induction system (EFIS) is the emerging replacement for conventional forced-induction systems (FIS), namely, turbochargers and superchargers. The reason behind this replacement is the drawbacks associated with FIS, among them are turbo lag and inefficiency in exhaust gas energy recycling. Electrically split turbocharger (EST) is a form of EFIS which offers a great potential for engine downsizing. In this paper, a new approach to EST utilization for lowering the fuel consumption (FC) without compromising performance has been introduced, through which the augmented degree of freedom enabled by an EST is used to optimize the air-charge boosting. To show the effectiveness of the proposed method, a model-based approach is used to compare two engines with and without EST technology; the performance of an already existing 1.6-l 4-cylinder turbocharged engine has been modeled based on the experimental data, and its performance indices are used as a benchmark for a downsized 1l 3-cylinder engine equipped with an EST. A comparison of these two engines in the dynamic drive cycles of the EPA Federal Test Procedure (FTP75) and Worldwide harmonized Light vehicles Test Cycles (WLTC) has shown a 28.87% and 25.35% reduction in FC, respectively, independent of the external electrical source. Furthermore, the downsized engine has shown superior performance through full-throttle acceleration in terms of torque transient response. Finally, the concept of coherence among gas-path components and its importance is presented, and knock precautions associated with air charging in this method are addressed.

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Section: Vehiclementioning

confidence: 99%

A Model-Based Investigation of Electrically Split Turbocharger Systems Capabilities to Overcome the Drawbacks of High-Boost Downsized Engines

2022

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“…Prior studies including modeling powertrain for control of CAVs [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29].…”

Section: Figurementioning

confidence: 99%

“…The results showed a 16% fuel benefits compared to a baseline. In [14], an optimal gearshifting strategy is presented to minimize fuel consumption and number of gear shifts in the new European driving cycle (NEDC).…”

Section: Figurementioning

confidence: 99%

Essential Dynamics for Developing Models for Control of Connected and Automated Electrified Vehicles: Part A - Powertrain

Hemmati

Yadav

Surresh

et al. 2021

Preprint

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Connected and Automated Vehicles (CAV) technology presents significant opportunities for energy saving in the transportation sector. CAV technology forecasts vehicle and powertrain power needs under various terrain, ambient, and traffic conditions. Even though the CAV technology is applicable to both conventional and electrified powertrains, the energy saving opportunities are more apparent when the CAVs are Hybrid Electric Vehicles (HEVs). This is because of the flexibility in the vehicle powertrain and possibility of choosing optimum powertrain modes based on the predicted traction power needs. In this paper, the powertrain dynamics essential for developing powertrain controllers for a class of connected HEVs is presented. To this end, control-oriented powertrain dynamic models for a test vehicle consisting of full electric, hybrid, and conventional engine operating modes are developed. The resulting powertrain model can forecast vehicle traction torque and energy consumption for the specified prediction horizon of the test vehicle. The model considers different operating modes and associated energy penalty terms for mode switching. Thus, the vehicle controller can determine the optimum powertrain mode, torque, and speed for forecasted vehicle operation via utilizing connectivity data. The powertrain model is validated against the experimental data and shows prediction error of less than 5% for predicting vehicle energy consumption.

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“…The results showed a 16% fuel benefits compared to a baseline. In Nikzadfar et al, 18 an optimal gear-shifting strategy is presented to minimize fuel consumption and number of gear shifts in the new European driving cycle (NEDC). The results show a 4% reduction in fuel consumption using the CAV information compared with the baseline.…”

Section: Introductionmentioning

confidence: 99%

“…Prior studies including modeling powertrain for control of CAVs. [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25] dynamic powertrain models that are important for CAV control. (ii) Transient dynamics in CAV powertrain are complex and it is challenging to formulate the effect of these dynamics as proper penalty factors for CAV optimal controllers.…”

Section: Introductionmentioning

confidence: 99%

Important powertrain dynamics for developing models for control of connected and automated electrified vehicles

Hemmati

Yadav

Surresh

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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Connected and Automated Vehicles (CAV) technology presents significant opportunities for energy saving in the transportation sector. CAV technology forecasts vehicle and powertrain power needs under various terrain, ambient, and traffic conditions. Integration of the CAV technology in Hybrid Electric Vehicles (HEVs) provides the opportunity for optimal vehicle operation. Indeed, Hybrid Electric Vehicle powertrains present high degrees of flexibility and possibility for choosing optimum powertrain modes based on the predicted traction power needs. In modeling complex CAV powertrain dynamics, the modeler needs to consider short-time scale powertrain dynamics, such as engine transients, and hysteresis of mode-switching for a multi-mode HEV. Therefore, the powertrain dynamics essential for developing powertrain controllers for a class of connected HEVs is presented. To this end, control-oriented powertrain dynamic models for a test vehicle consisting of full electric, hybrid, and conventional engine operating modes are developed. The resulting powertrain model can forecast vehicle traction torque and energy consumption for the specified prediction horizon of the test vehicle. The model considers different operating modes and associated energy penalty terms for mode switching. Thus, the vehicle controller can determine the optimum powertrain mode, torque, and speed for forecasted vehicle operation via utilizing connectivity data. The powertrain model is validated against the experimental data and shows prediction error of less than 5% for predicting vehicle energy consumption. The model is used to create energy penalty maps that can be used for CAV control, for example fuel penalty map for engine torque changes (10–40 Nm) at each engine speed. The results of model-based optimization show optimum switching delays ranging from 0.4 to 1.4 s to avoid hysteresis in mode switching.

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An Optimal Gear Shifting Strategy for Minimizing Fuel Consumption Based on Engine Optimum Operation Line

Cited by 11 publications

References 16 publications

A Model-Based Investigation of Electrically Split Turbocharger Systems Capabilities to Overcome the Drawbacks of High-Boost Downsized Engines

A Model-Based Investigation of Electrically Split Turbocharger Systems Capabilities to Overcome the Drawbacks of High-Boost Downsized Engines

Essential Dynamics for Developing Models for Control of Connected and Automated Electrified Vehicles: Part A - Powertrain

Important powertrain dynamics for developing models for control of connected and automated electrified vehicles

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