Multimode combustion in a mild hybrid electric vehicle. Part 1: Supervisory control

Nüesch, Sandro P.; Stefanopoulou, Anna G.

doi:10.1016/j.conengprac.2016.09.002

Cited by 12 publications

(8 citation statements)

References 22 publications

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“…T e n e be 9550 × 3600 (16) where be can be obtained from the engine BSFC map. Moreover, the penalty function P m k is requested to limit the high frequency of gearbox shift:…”

Section: Dynamic Programmingmentioning

confidence: 99%

“…Solouk, A. et al applied a HCCI/RCCI/SI multi-mode engine in a series extended range electric vehicle, and the results under city driving cycle showed that the multi-mode engine had a better fuel economy compared with the engines which had only one combustion mode [15]. Similarly, for a mild HEV, a multimode engine (SI/HCCI) was also applied by Nuesch, S. et al [16]. In addition, the HCCI/RCCI/SI engines were integrated with parallel hybrid electric configurations in [17,18] to select the optimal electrification level.…”

Section: Introductionmentioning

confidence: 99%

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Architecture Optimization of Hybrid Electric Vehicles with Future High-Efficiency Engine

Hong¹,

Zhao²,

Lei³

et al. 2018

Energies

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The great development of engine technologies can help to improve the engine characteristics and performance: a better thermal efficiency and an extending fuel economy area, which will subsequently decrease the fuel consumption and thus influence the overall architecture of the vehicle. In this paper, an investigation is carried out to assess the influence of the high-efficiency engine on the transmission gear numbers. First, according to the relevant studies and the integration of the advanced engine technology, a future engine fuel consumption map is obtained, based on which, the preliminary simulations are applied to explore the best match between the transmission and the proposed future engine from the perspective of fuel consumption. The simulation results indicate that the transmission with four gears is the best option to match the future engine while maintaining good fuel economy and meeting the driving demands. Then, based on this conclusion, a new hybrid powertrain architecture, which includes four gears for the engine, is introduced and analyzed in detail, with the advantage of seamless gear shift due to the compensation torque of the motor. Finally, to further examine the fuel economy and gear shift quality of the proposed powertrain, the dynamic model is established and the simulation results demonstrate that the new powertrain architecture shows a good fuel consumption performance and the gear shift process can be achieved without power interruption.

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“…T e n e be 9550 × 3600 (16) where be can be obtained from the engine BSFC map. Moreover, the penalty function P m k is requested to limit the high frequency of gearbox shift:…”

Section: Dynamic Programmingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Architecture Optimization of Hybrid Electric Vehicles with Future High-Efficiency Engine

Hong¹,

Zhao²,

Lei³

et al. 2018

Energies

View full text Add to dashboard Cite

show abstract

“…The synthesis of control laws that are used in the construction of multi-mode systems can be based on the use of the Lyapunov methods, the methods of optimal synthesis using the principles of L. Pontryagin and R. Bellman, the empirical solutions using and generalizing the control experience that require methods of intellectualization [1][2][3][4][5]. The latter are not effective enough in the case when it is possible to build an accurate mathematical model [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

The condition for the maximum of the generalized power function in the problem of forming a multi-mode control law with limitation

et al. 2020

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A quasi-optimal control law is developed based on the condition for the maxi-mum of the generalized power function taking into account the stationarity of the Hamiltonian on the switching line for control objects that can be represented by the Lagrange equations of the second kind. The comparative analysis is carried out based on the mathematical simulation using the optimal nonlinear control laws with respect to several criteria. We found that the modes of the proposed control law provide high accuracy of approximation to the optimal performance laws and the Fuller laws, reducing energy costs for control by eliminating more frequent switching. The choice of the parameters of the developed control law makes it possible to implement a wide range of both nonlinear and linear operating modes, which allows to classify the obtained control law as multimode law.

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“…Such powertrains are divided into two subcategories based on the LTC engine combustion regimes including the single-mode LTC and multi-mode LTC. In majority of the previous works, the engine has been flexible to switch from a single-mode LTC to a conventional mode [15,34,35,36]. In the single-LTC mode subcategory, HCCI was the first type that was studied in electrified powertrains.…”

Section: Chapter Introductionmentioning

confidence: 99%

“…In the first study at Argonne National Lab, the effects of using a dual-mode SI-HCCI engine in different vehicle electrification levels were analyzed [35]. In both studies, in references [34] and [36], the fuel economy benefits of the SI-HCCI engine are studied for parallel HEV architectures. RCCI was the second type of LTC engines that have been studied in an HEV powertrain.…”

Section: Chapter Introductionmentioning

confidence: 99%

Model-Based Control of Hybrid Electric Powertrains Integrated With Low Temperature Combustion Engines

Soloukmofrad¹

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Multimode combustion in a mild hybrid electric vehicle. Part 1: Supervisory control

Cited by 12 publications

References 22 publications

Architecture Optimization of Hybrid Electric Vehicles with Future High-Efficiency Engine

Architecture Optimization of Hybrid Electric Vehicles with Future High-Efficiency Engine

The condition for the maximum of the generalized power function in the problem of forming a multi-mode control law with limitation

Model-Based Control of Hybrid Electric Powertrains Integrated With Low Temperature Combustion Engines

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