An energy optimization strategy for power-split drivetrain plug-in hybrid electric vehicles

He, Yiming; Chowdhury, Mashrur; Pisu, Pierluigi; Ma, Yun

doi:10.1016/j.trc.2011.11.008

Cited by 85 publications

(26 citation statements)

References 21 publications

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“…In fact, the case of all-electric mode at the beginning of the path is removed, which ensures that the vehicle takes longer time to reach charge sustaining operation. This allows for operating the engine at high efficiency points and utilization of electric energy over a longer range in charge depletion mode which improves fuel economy [25]. Fig.…”

Section: Plug-in Hevmentioning

confidence: 99%

Investigation of energy usage and emissions on plug-in and hybrid electric vehicle

2016

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Preliminary noteOne of the major issues in automotive industry is to develop hybrid electric vehicles (HEVs) as the prime candidate for improving fuel efficiency and emissions reduction. This study addresses the impact of an actual drive pattern and control strategy on the conventional and plug-in hybrid electric vehicles (PHEV). In the first step the development procedure of driving cycle for real condition is proposed. Then effects of driving pattern and energy management strategy as the main factors, which strongly affect the fuel consumption and emission of pollutants, are investigated for HEVs and PHEVs. For this purpose fuzzy logic controller which is optimized with genetic algorithm is developed for energy management system. Then vehicle performance is simulated in ADVISOR. Simulation results demonstrate the effectiveness of the approach for reducing the fuel consumption and emissions. Furthermore, simulation results indicate that PHEVs in comparison to HEVs improve fuel efficiency and reduce emissions in real world driving cycle. Keywords: emission; fuel consumption; fuzzy controller; genetic algorithm; hybrid vehicle; plug-in hybrid vehicleIstraživanje potrošnje energije i ispuštanja štetnih plinova kod plug-in i hibridnih električnih vozila Prethodno priopćenje Jedan od osnovnih zadataka u automobilskoj industriji je razvoj hibridnih električnih vozila (HEVs) kao primarnog kandidata za poboljšanje učinkovitosti goriva i smanjenje ispušnih plinova. Ovo se istraživanje bavi učinkom aktualnog modela pogona i upravljanja na konvencionalna i plug-in hibridna električna vozila (PHEV). Najprije se predlaže postupak razvoja pogonskog ciklusa za stvarne uvjete. Tada se za HEVs i PHEVs istražuju učinci pogonskog modela i načina upravljanja potrošnjom energije kao glavnih čimbenika koji bitno djeluju na potrošnju goriva i ispuštanje plinova koji zagađuju okolinu. U tu je svrhu za sustav upravljanja energijom razvijen upravljač neizrazite logike optimiziran genetskim algoritmom. Tada je rad vozila simuliran u ADVISOR-u. Rezultati simulacije pokazuju učinkovitost pristupa kojim se smanjuje potrošnja goriva i količina ispušnih plinova. Nadalje, ti rezultati pokazuju da PHEVs u usporedbi s HEVs poboljšavaju učinkovitost goriva i smanjuju količinu ispušnih plinova u stvarnom pogonu. Ključne riječi: genetički algoritam; hibridno vozilo; ispuštanje plinova; plug-in hibridno vozilo; potrošnja goriva; upravljač neizrazite logike

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Section: Plug-in Hevmentioning

confidence: 99%

Investigation of energy usage and emissions on plug-in and hybrid electric vehicle

2016

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“…Lee and Kim studied an optimal engine-generator operating line for a plug-in hybrid electric bus (PHEB) to minimize the fuel consumption [10]. He and Chowdhury presented an innovative adaptive equivalent consumption minimization strategy for a power-split PHEV with predictive traffic information [11]. Zhang and Vahidi studied an energy management strategy for a PHEV, which is based on dynamic programming (DP) with full knowledge of future driving conditions [12].…”

Section: Introductionmentioning

confidence: 99%

A Rule-Based Energy Management Strategy for a Plug-in Hybrid School Bus Based on a Controller Area Network Bus

Peng

Fan

et al. 2015

Energies

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This paper presents a rule-based energy management strategy for a plug-in hybrid school bus (PHSB). In order to verify the effectiveness and rationality of the proposed energy management strategy, the powertrain and control models were built with MATLAB/Simulink. The PHSB powertrain model includes an engine model, ISG (integrated started and generator) model, drive motor model, power battery packs model, driver model, and vehicle longitudinal dynamics model. To evaluate the controller area network (CAN) bus performance features such as the bus load, signal hysteresis, and to verify the reliability and real-time performance of the CAN bus multi-node control method, a co-simulation platform was built with CANoe and MATLAB/Simulink. The co-simulation results show that the control strategy can meet the requirements of the PHSB's dynamic performance. Meanwhile, the charge-depleting mode (CD) and charge-sustaining mode (CS) can switch between each other and maintain a state-of-charge (SoC) of around 30%, indicating that the energy management strategy effectively extends the working period of the CD mode and improves the fuel economy further. The energy consumption per 100 km includes 13.7 L diesel and 10.5 kW·h electricity with an initial SoC of 75%. The CANoe simulation results show that the bus communication performs well without error frames. OPEN ACCESSEnergies 2015, 8 5123

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“…The other research aspect is that numerous studies on the motion characteristics, modeling, and control strategy of PSDs have been conducted. Sasaki [15] studied the configuration characteristics, motion relationship, and control strategy of THS; Miller [16] presented a summary of various PSD architectures; Liu and Peng [17,18] established the dynamic model of Prius and carried out research on minimum equivalent fuel consumption control strategy and dynamic programming control strategy; Bertoluzzo et al [19] studied the configuration characteristics 2 Advances in Mechanical Engineering of SHEV and PHEV as well as conducting a concrete study on the configuration characteristics and working mode of SPHEV; Syed et al [20] built a HEV model with Lavinatype PSD and studied its configuration characteristics and function realization; Li and Kar [21] optimized the PSD ratio based on dynamic programming; Gupta and Ramanarayanan [22] discussed the cycle power problem in the planetary gear of HEV; Pennestri et al [23] proposed a system method to study the efficiency of PSD; Kim and Rousseau [24] compared the control effect of logic threshold control strategy and instantaneous optimization strategy on a HEV using singlemode PSD; Mashadi and Emadi [25] proposed a new PSD with two lockable clutches and studied the configuration characteristics and control strategy of the new PSD; and He et al [26] presented the use of predictive traffic information to formulate an energy allocation strategy.…”

Section: Introductionmentioning

confidence: 99%

Design and Experiment of a Differential-Based Power Split Device

Zeng

Peng

Zheng

et al. 2014

Advances in Mechanical Engineering

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Hybrid electric vehicles have excellent energy efficiency and emission performance. Power split device (PSD) is a key component that directly affects the control strategy of power systems, the economic consumption of fuel, and the dynamic performance of vehicles. A differential-based PSD was proposed in this paper. A traditional differential was taken as the prototype and a new design method is proposed to retrofit the differential into a PSD. First, a comprehensive approach that includes theoretical analysis and software simulation was used to analyze the possibility as well as the necessity of retrofitting the differential into PSD. Then the differential was retrofitted. Finally, finite element analysis and bench test were conducted. Results showed that applying the retrofitted differential as PSD is practicable.

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An energy optimization strategy for power-split drivetrain plug-in hybrid electric vehicles

Cited by 85 publications

References 21 publications

Investigation of energy usage and emissions on plug-in and hybrid electric vehicle

Investigation of energy usage and emissions on plug-in and hybrid electric vehicle

A Rule-Based Energy Management Strategy for a Plug-in Hybrid School Bus Based on a Controller Area Network Bus

Design and Experiment of a Differential-Based Power Split Device

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