Modeling and optimal energy management of a power split hybrid electric vehicle

Shi, Dehua; Wang, Shaohua; Pisu, Pierluigi; Chen, Long; Wang, Ruochen; Wang, Renguang

doi:10.1007/s11431-016-0452-8

Cited by 24 publications

(12 citation statements)

References 28 publications

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“…10, which is detailed in Ref. [9]. Due to easy implementation and superior realtime performance, the OOL control strategy has been used in mass production vehicles such as the Prius and LEXUS et al…”

Section: Simulation Resultsmentioning

confidence: 99%

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Research on instantaneous optimal control of the hybrid electric vehicle with planetary gear sets

Wang

Zhang

Shi

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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Power-split hybrid electric vehicle (HEV), mainly adopting the planetary power coupling mechanism, is superior in improving the fuel economy because the engine speed and torque are decoupled from those of the wheels. Focusing on a power-split HEV with dual-planetary gear sets, this paper establishes an instantaneous optimal control to regulate its power flow. Firstly, simulation-oriented models are established, including the coupling mechanism, the engine, the electrical machines and the battery. Secondly, feasible operation modes of the vehicle are analyzed. Also, the torque and speed equations between the engine and motors are obtained. On the basis of the above, the instantaneous optimization strategy, adaptive equivalent fuel consumption minimization strategy (A-ECMS), is designed, which is developed from the equivalent fuel consumption minimization strategy. The optimization strategy is of high robustness to different driving cycles. To realize the engine speed tracking, a PI controller is introduced. At last, the control effects of A-ECMS are compared with the effects of the engine optimal operating line control strategy. The effectiveness and rationality of two strategies are tested in the dSPACE real-time simulator. Test results under different driving scenarios prove that the A-ECMS is of better performance in ensuring the HEV fuel economy and the battery charging sustainability.

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Section: Simulation Resultsmentioning

confidence: 99%

“…static torque proportional to the ideal engine torque T eng_ideal , which can be obtained by the unified model in Eq. (9). The other part is changing and can be obtained from the PI regulator, whose input is the difference between the engine reference speed ω eng_ideal and actual speed ω eng_act .…”

Section: Analysis Of Operation Modesmentioning

confidence: 99%

Research on instantaneous optimal control of the hybrid electric vehicle with planetary gear sets

Wang

Zhang

Shi

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

Self Cite

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“…Since the ring gear of PG2 is fixed, the direction of MG2 speed is the same as the speed direction at the input side of the final drive [28]. The speed of MG2 is also proportional to the wheel speed.…”

Section: Simulation and Analysismentioning

confidence: 99%

Research on Speed Optimization Strategy of Hybrid Electric Vehicle Queue Based on Particle Swarm Optimization

Wang

Shi

et al. 2018

Mathematical Problems in Engineering

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Traffic lights intersections are common in cities and have an impact on the energy consumption of vehicles, so it is significant to optimize the velocities of vehicles in urban road conditions. The novel speed optimization strategy for hybrid electric vehicle (HEV) queue that helps reduce fuel consumption and improve traffic efficiency is presented in this paper, where real-world traffic signal information is used to construct the research scenario. The initial values of the target velocities are obtained based on the signal phase and timing (SPAT). Then the particle swarm optimization (PSO) algorithm is used to solve the nonlinear constrained problem and obtain the optimal target velocities based on vehicle to vehicle communication (V2V) and vehicle to infrastructure communication (V2I). The lower controller, which applies rule based control strategy, is designed to split the power of the engine and two electric motors in a power split HEV, which is quite promising because of its advantages in fuel economy. Simulation results demonstrate the superior performance of the proposed strategy in reducing fuel consumption of the HEV queue and improving traffic smoothness.

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“…Only by controlling the power-split device through efficient energy management strategies can the advantages of HEVs be fully exerted. 8 The energy management strategies of HEVs are mainly divided into rule-based control strategies and optimization-based control strategies. 9 Rule-based control strategies include logic threshold and fuzzy logic, which are mainly to divide multiple operation modes for the vehicle clearly and to switch between different modes by setting multiple control rules as switching conditions.…”

Section: Introductionmentioning

confidence: 99%

Modeling and energy management strategy research of a power-split hybrid electric vehicle

Zou

Huang

et al. 2020

Advances in Mechanical Engineering

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A power-split hybrid electric vehicle with a dual-planetary gearset is researched in this paper. Based on the lever analogy method of planetary gearsets, the power-split device is theoretically modeled, and the driveline simulation model is built by using vehicle modeling and simulation toolboxes in MATLAB. Six operation modes of the vehicle are discussed in detail, and the kinematic constraint behavior of power sources are analyzed. To verify the rationality of the modeling, a rule-based control strategy (RB) and an adaptive equivalent consumption minimization strategy (A-ECMS) are designed based on the finite state machine and MATLAB language respectively. In order to demonstrate the superiority of A-ECMS in fuel-saving and to explore the impact of different energy management strategies on emission, fuel economy and emission performance of the vehicle are simulated and analyzed under UDDS driving cycle. The simulation results of the two strategies are compared in the end, shows that the modeling is rational, and compared with RB strategy, A-ECMS ensures charge sustaining better, enables power sources to work in more efficient areas, and improves fuel economy by 8.65%, but significantly increases NOx emissions, which will be the focus of the next research work.

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Modeling and optimal energy management of a power split hybrid electric vehicle

Cited by 24 publications

References 28 publications

Research on instantaneous optimal control of the hybrid electric vehicle with planetary gear sets

Research on instantaneous optimal control of the hybrid electric vehicle with planetary gear sets

Research on Speed Optimization Strategy of Hybrid Electric Vehicle Queue Based on Particle Swarm Optimization

Modeling and energy management strategy research of a power-split hybrid electric vehicle

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