Energy Optimization and Fuel Economy Investigation of a Series Hybrid Electric Vehicle Integrated with Diesel/RCCI Engines

Solouk, Ali; Shahbakhti, Mahdi

doi:10.3390/en9121020

Cited by 38 publications

(22 citation statements)

References 41 publications

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“…For this architecture, the charging strategy and the number of operating conditions used to charge the engine were found to have fundamental importance. Solouk et al [41] stated that as the number of operating conditions is increased, better fuel consumption is achieved. However, the same authors recognized that the number of starts of the internal combustion engine during the cycle and the transition between the different operating conditions should be taken into account.…”

Section: Introductionmentioning

confidence: 99%

Potential of RCCI Series Hybrid Vehicle Architecture to Meet the Future CO2 Targets with Low Engine-Out Emissions

et al. 2018

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Reactivity controlled compression ignition (RCCI) combustion has been shown to provide simultaneous ultra-low NOx and soot emissions with similar or better thermal efficiencies than conventional diesel combustion (CDC). Nonetheless, RCCI still has several challenges that restrict its operating range and limit its practical application. The dual-mode operation, which involves switching between different combustion modes, has been found as a promising alternative to operation in the whole engine map. However, the combustion mode switching requires difficult engine control, particularly during transient operation. The series hybrid vehicle (SHV) architecture allows the thermal engine to operate in a limited operating range by decoupling it from the drivetrain. Therefore, it could be an interesting alternative to the dual-mode concept. This work explores the potential of the RCCI series hybrid vehicle architecture to provide low engine-out emissions and CO2 by means of vehicle systems simulations. The results show the influence of the main parameters and control strategies of the SHV vehicle on its efficiency and emissions under different driving cycles. Finally, the optimal RCCI-SHV configuration is compared to CDC and dual-mode combustion strategies, confirming its potential as a future vehicle architecture for high efficiency and low emissions.

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Section: Introductionmentioning

confidence: 99%

Potential of RCCI Series Hybrid Vehicle Architecture to Meet the Future CO2 Targets with Low Engine-Out Emissions

et al. 2018

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“…Just as formulated in Equaiton (1), the optimal control problem is composed of the following parameters: stage variable, state variable, and control variable [38], and the optimal solution is to find the minimum of Equation (1).…”

Section: Dynamic Programmingmentioning

confidence: 99%

“…The internal engine, as an important power source in our daily life, successfully transfers the energy stored in the fossil fuel into the power and energy required for the mobile applications. However, as non-renewable energy resources, the fuel storage and availability on the planet are limited and the increasing depletion has aroused people's attention [1], which in return inspires and motivates automotive companies to focus on the advanced engine technologies to improve the engine characteristics. Besides, hybrid electric vehicle (HEV), combining the merits of motor and engine, also shows a promising potential of fuel-saving capacity [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

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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“…References [18,19] presented the design and research of a simulation model for the warm-up process of a hybrid vehicle. Reference [20] designs a control strategy including dynamic programming and model predictive control, which shows that the RCCI (Reactivity Controlled Compression Ignition) engine offers more fuel economy improvement in more aggressive driving cycles, and sub-optimal fuel economy is achieved by predicting the vehicle speed profile for a time horizon of 70 s.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control Strategy for Series Hybrid Electric Vehicles in the Warm-Up Process

et al. 2018

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To address the problems of low efficiency and high fuel consumption during the cold start and warm-up processes of internal combustion engines, a series hybrid electric vehicle was selected as the research object and two optimal control strategies were designed. A bench test was performed to determine the following: (a) the influence of engine coolant temperature on effective thermal efficiency; and (b) the relationship between engine operating conditions and coolant temperature increase rate. On the basis of the test results, two sets of warm-up process optimization control strategies were designed using a dynamic programming method and a fuzzy control method based on equivalent consumption minimization strategy (ECMS). The test results show that the fuzzy control method for the coolant temperature can effectively shorten the time required to warm up the engine, and the energy consumption of warm-up process can be reduced by nearly 10% through the dynamic programming method.

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Energy Optimization and Fuel Economy Investigation of a Series Hybrid Electric Vehicle Integrated with Diesel/RCCI Engines

Cited by 38 publications

References 41 publications

Potential of RCCI Series Hybrid Vehicle Architecture to Meet the Future CO2 Targets with Low Engine-Out Emissions

Potential of RCCI Series Hybrid Vehicle Architecture to Meet the Future CO2 Targets with Low Engine-Out Emissions

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

Optimal Control Strategy for Series Hybrid Electric Vehicles in the Warm-Up Process

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