Control strategy for dual-mode power split HEV considering transmission efficiency

Kang, Jaeyoung; Choi, Woo Jung; Hong, Sung-Hwa; Park, Jeongman; Kim, Hyunsoo

doi:10.1109/vppc.2011.6043008

Cited by 10 publications

(8 citation statements)

References 7 publications

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“…In the simulation, it is assumed that both the efficiencies of MG1 and MG2 are 0.85. 16 Consequently, the transmission efficiency F(i), the electric power ratio E(i), and the transmission ratio i are defined as…”

Section: The Power Coupling Mechanism Analysismentioning

confidence: 99%

Fuzzy optimization of energy management for power split hybrid electric vehicle based on particle swarm optimization algorithm

Yin

Wang

et al. 2019

Advances in Mechanical Engineering

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A dual planetary gear hybrid electric vehicle is introduced in the paper. The speed and torque relations between different components of the power split hybrid system are systematically established using the lever analogy. Based on the electric power balance, the influence of the ratio between the engine speed and output speed of the power coupling system on the hybrid electric vehicle powertrain transmission efficiency is revealed, and the transmission efficiency optimization strategy is further proposed. Since some engine operation points are distributed in the low-efficiency region, the engine torque control strategy is designed using fuzzy control algorithm. The fuzzy membership function and fuzzy rules are optimized by particle swarm optimization to reduce the bad influence of expert experience and knowledge on the derivation of optimal engine torque. The vehicle powertrain and the control strategy models are established based on AVL/ Cruise and MATLAB/Simulink platforms, and the joint simulation is conducted. Simulation results show that the proposed optimal energy management strategy can optimize the operation points of the engine. The final value of the battery state of charge is kept within a reasonable range, and the equivalent fuel consumption of the whole vehicle is reduced by 10.26% compared with that the transmission efficiency optimization control strategy.

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Section: The Power Coupling Mechanism Analysismentioning

confidence: 99%

Fuzzy optimization of energy management for power split hybrid electric vehicle based on particle swarm optimization algorithm

Yin

Wang

et al. 2019

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…where P M G1 and P M G2 represent power of MG1 and MG2, respectively, n M G1 and n M G2 represent efficiency of MG1 and MG2, respectively. In the simulation, it is assumed that the efficiency of MG1 and MG2 is 0.85 (Du et al 2015;Kang et al, 2011). Consequently, the transmission efficiency F (i), the electric power ratio E(i) and the transmission ratio i are defined as…”

Section: Mechanical Point Analysismentioning

confidence: 99%

Energy management strategy of dual planetary hybrid electric vehicle based on optimal transmission efficiency

Wang

Shi

et al. 2019

Journal of Theoretical and Applied Mechanics

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A power split hybrid electric vehicle with dual planetary gear sets is studied in this paper. Firstly, the power split and circulation phenomenon are further described by analyzing a speed and torque relationship between the engine, motors and the output shaft based on the lever analogy. The transmission efficiency and the electric power ratio are then obtained. The working modes of the hybrid electric vehicle (HEV) are divided according to the system operation mechanism. On this basis, the engine optimal operating line (OOL) control strategy and the mechanical point (MP) control strategy are designed. Furthermore, a fuzzy controller is designed to realize the optimal torque distribution of the engine and the motors in the MP control strategy. Simulation results demonstrate that the MP control strategy can guarantee a higher efficiency of the transmission system, which also shows good performance in improving fuel economy of the HEV by adjusting the engine operating point.

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“…speed and torque of MG1 and MG2 (including the drivetrain losses) are determined from Equations (1) to (4), and the battery power P b is determined from the MG1 and MG2 operating points:…”

Section: Development Of Dynamic Programming Backward Simulator With Dmentioning

confidence: 99%

“…In general, PHEVs utilize more than one operating mode to provide the demanded performance, where the selected mode is determined by the instantaneous system efficiency and the battery state of charge (SOC). Since PHEV efficiency depends on the power transmission characteristics, which vary with the operating mode [4][5][6], developing an optimized operating mode control strategy is essential.…”

Section: Introductionmentioning

confidence: 99%

Development of Near Optimal Rule-Based Control for Plug-In Hybrid Electric Vehicles Taking into Account Drivetrain Component Losses

Son

Kim

2016

Energies

Self Cite

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Abstract:A near-optimal rule-based mode control (RBC) strategy was proposed for a target plug-in hybrid electric vehicle (PHEV) taking into account the drivetrain losses. Individual loss models were developed for drivetrain components including the gears, planetary gear (PG), bearings, and oil pump, based on experimental data and mathematical governing equations. Also, a loss model for the power electronic system was constructed, including loss from the motor-generator while rotating in the unloaded state. To evaluate the effect of the drivetrain losses on the operating mode control strategy, backward simulations were performed using dynamic programming (DP). DP selects the operating mode, which provides the highest efficiency for given driving conditions. It was found that the operating mode selection changes when drivetrain losses are included, depending on driving conditions. An operating mode schedule was developed with respect to the wheel power and vehicle speed, and based on the operating mode schedule, a RBC was obtained, which can be implemented in an on-line application. To evaluate the performance of the RBC, a forward simulator was constructed for the target PHEV. The simulation results show near-optimal performance of the RBC compared with dynamic-programming-based mode control in terms of the mode operation time and fuel economy. The RBC developed with drivetrain losses taken into account showed a 4%-5% improvement of the fuel economy over a similar RBC, which neglected the drivetrain losses.

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Control strategy for dual-mode power split HEV considering transmission efficiency

Cited by 10 publications

References 7 publications

Fuzzy optimization of energy management for power split hybrid electric vehicle based on particle swarm optimization algorithm

Fuzzy optimization of energy management for power split hybrid electric vehicle based on particle swarm optimization algorithm

Energy management strategy of dual planetary hybrid electric vehicle based on optimal transmission efficiency

Development of Near Optimal Rule-Based Control for Plug-In Hybrid Electric Vehicles Taking into Account Drivetrain Component Losses

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