Effect of Engine Start and Clutch Slip Losses on the Energy Management Problem of a Hybrid DCT Powertrain

Galvagno, Enrico; Guercioni, Guido Ricardo; Rizzoni, Giorgio; Velardocchia, Mauro; Vigliani, Alessandro

doi:10.1007/s12239-020-0091-y

Cited by 7 publications

(5 citation statements)

References 25 publications

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“…The GSD algorithm described by Equations ( 10) and (11) represents a heuristic method of reducing the number of gear shifts and improving drivability when applying the RB+ECMS control strategy. Since the RB+ECMS-EXT strategy inherently accounts for the shift-related transient energy losses, it naturally avoids frequent shifting, and it does not require the GSD algorithm (i.e., it is omitted in the RB+ECMS-EXT strategy).…”

Section: Use Of Ext-bwd Model Within Ecms+rb Control Strategymentioning

confidence: 99%

“…The power flow control strategies may considerably underperform in terms of fuel economy and drivability when applied on more realistic, fully-dynamic, forward-looking powertrain models or on vehicles. This is due to uncaptured hybrid transmission transient losses and frequent gearshifts or operating mode switching [9][10][11]. For the same reason, control variable optimization results obtained by using the BWD powertrain model may not be deemed as a credible benchmark.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Control of a PHEV Based on Backward-Looking Model Extended with Powertrain Transient Effects

2022

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The paper proposes a power flow control strategy for a P2 parallel plug-in hybrid electric vehicle (PHEV) which takes into account torque and power losses related to engine-on and gear shift transients. An extended backward-looking (EXT-BWD) model is proposed to account for the transient losses, while the control strategy combines a rule-based controller with an equivalent consumption minimization strategy. To describe the transient losses, the EXT-BWD model includes additional state variables related to engine on/off flag and gear ratio in the previous time step. To establish a performance benchmark for control strategy verification, a dynamic programming-based control variable optimization framework is established based on the EXT-BWD model. The proposed control strategy is demonstrated to improve the fuel efficiency and drivability compared to the original control strategy while retaining comparable computational efficiency.

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Section: Use Of Ext-bwd Model Within Ecms+rb Control Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Control of a PHEV Based on Backward-Looking Model Extended with Powertrain Transient Effects

2022

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“…In reviewing the development trends of HEV powertrains and transmissions, the authors in [11] introduced updated trends of HEVs using optimal energy management. The authors in [12] investigated the effect of clutch slip losses and combustion engine start on the fuel management problem. In [13], the authors studied the modelling and fuel management of powertrain split on HEVs.…”

Section: Introductionmentioning

confidence: 99%

Optimal Fuel Consumption Modelling, Simulation, and Analysis for Hybrid Electric Vehicles

Minh

Moezzi

Cýrus

et al. 2022

ASI

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This paper reviews the latest studies of hybrid electric vehicles (HEVs) on modelling, controls, and energy management. HEV dynamics, formulas, calculations, and schemes of vehicle parts, such as battery, converter, electric motor, generator, and HEV Simulink models, are presented. Moreover, simulations of the propulsion operation, regenerative braking system, and vehicle dynamics are conducted. A comprehensive HEV model is built that is simulated on different driving cycles of Federal Test Procedure 75 (FTP75), New York City Cycle (NYCC), Highway Fuel Economy Test (HWFET), and Extra Urban Driving Cycle (EUDC). Data achieved from these simulations were analysed and tested with several fuel regression models to determine the best fuel regression estimation for HEV fuel consumption on the basis of their weights and tire radiuses. The best fuel regression equation is obtained with a determination coefficient R-squared greater than 99%. Lastly, the optimal model and other HEVs models are simulated on different driving cycles to prove that the fuel consumption of our best-fit regression model is the best.

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“…Optimization-based algorithms elaborate the best power distribution that minimizes a desired cost function or performance index; they are generally more reliable with respect to rule-based strategies. The optimization process can be solved in real time, such as the Equivalent Consumption Minimization Strategy (ECMS) [21,22], the Model Predictive Control (MPC) [23][24][25] and the intelligent programming [26], or offline by producing maps or algorithms that require a lower computational effort, such as the Pontryagin's Minimum Principle (PMP) [27,28], the Dynamic Programming (DP) [29][30][31], and Genetic Algorithm (GA) [32]. An alternative method, which produces results similar to DP but with lower computational burden, is represented by the so-called Power-weighted Efficiency concept as defined for the first time by Zhang et al [33].…”

Section: Introductionmentioning

confidence: 99%

Energy Management Strategy for Hybrid Multimode Powertrains: Influence of Inertial Properties and Road Inclination

et al. 2021

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Multimode hybrid powertrains have captured the attention of automotive OEMs for their flexible nature and ability to provide better and optimized efficiency levels. However, the presence of multiple actuators, with different efficiency and dynamic characteristics, increases the problem complexity for minimizing the overall power losses in each powertrain operating condition. The paper aims at providing a methodology to select the powertrain mode and set the reference torques and angular speeds for each actuator, based on the power-weighted efficiency concept. The power-weighted efficiency is formulated to normalize the efficiency contribution from each power source and to include the inertial properties of the powertrain components as well as the vehicle motion resistance forces. The approach, valid for a wide category of multimode powertrain architectures, is then applied to the specific case of a two-mode hybrid system where the engagement of one of the two clutches enables an Input Split or Compound Split operative mode. The simulation results obtained with the procedure prove to be promising in avoiding excessive accelerations, drift of powertrain components, and in managing the power flow for uphill and downhill vehicle conditions.

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Effect of Engine Start and Clutch Slip Losses on the Energy Management Problem of a Hybrid DCT Powertrain

Cited by 7 publications

References 25 publications

Optimal Control of a PHEV Based on Backward-Looking Model Extended with Powertrain Transient Effects

Optimal Control of a PHEV Based on Backward-Looking Model Extended with Powertrain Transient Effects

Optimal Fuel Consumption Modelling, Simulation, and Analysis for Hybrid Electric Vehicles

Energy Management Strategy for Hybrid Multimode Powertrains: Influence of Inertial Properties and Road Inclination

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