Research on integration simulation and balance control of a novel load isolated pure electric driving system

Hong, Jichao; Wang, Zhenpo; Zhang, Tiezhu; Yin, Huaixian; Huo, Wei; Zhang, Yi; Li, Yuanyuan

doi:10.1016/j.energy.2019.116220

Cited by 26 publications

(12 citation statements)

References 33 publications

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“…13(c). As shown, the maximum vehicle jerk of the entire startup process was approximately 7.51 m/s 3 .…”

Section: Modeling and Simulation Analysismentioning

confidence: 82%

“…Major automobile manufacturers have invested in the development of PHEVs, and plug-in hybrid power systems (PHPSs) with different configurations have appeared on the market [2][3][4]. Owing to the structural characteristics of the dual input shaft, the need to avoid power interruption, and the high transmission efficiency, the proportion of dual-clutch transmissions (DCTs) in the current PHPSs has increased annually [5,6].…”

Section: Introductionmentioning

confidence: 99%

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Control Strategy for Electric Startup of P2.5-PHEV Based on Slope Memory and Driver’s Startup Intention

Wei

Kan

et al. 2021

IEEE Access

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P2.5 plug-in hybrid electric vehicles (P2.5-PHEVs) exhibit high transmission efficiencies and no power interruption in the shifting and mode switching process; thus, they have broad application prospects. The power transmission in a PHEV under pure electric startup does not entail the clutch, and the initial torque of the motor is often set under the condition that the maximum allowable slope should not lead to backward sliding, which leads to the problems of excessive jerk in small-slope startup and catapulting when startup occurs downhill. The optimal method is to set different initial torques according to different gradients; however, the vehicle would still be in the pre-startup stage, making it impossible to estimate the slope using a dynamic method. In view of the foregoing problems, according to an analysis of pure electric startup dynamics, a slope-memory-based strategy for estimating and storing the slope during the vehicle movement before parking is proposed. During startup, the initial torque is set according to the memorized slope. In the processes of startup and acceleration, the driver's startup intention is identified, and different jerk control targets are set. The torque of the acceleration process is controlled according to the set initial torque and jerk target. Simulation results indicate that the maximum jerk of the proposed strategy is reduced by 23.6% for startup on a 5% ramp and by 57.5% for startup at 15% downhill; thus, the strategy mitigates the problems of the excessive jerk and catapult for startup on a small slope.

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“…13(c). As shown, the maximum vehicle jerk of the entire startup process was approximately 7.51 m/s 3 .…”

Section: Modeling and Simulation Analysismentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Control Strategy for Electric Startup of P2.5-PHEV Based on Slope Memory and Driver’s Startup Intention

Wei

Kan

et al. 2021

IEEE Access

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“…Nevertheless, on the one hand, voltage, temperature, and state of charge (SOC) are the essential characterization parameters for various battery faults, and accurate prediction of these parameters is critical for battery safety [9]. On the other hand, battery safety and vehicle mileage are obstacles to the development of electric vehicles [10]. Therefore, pure electric automobile research is far from ample to enhance energy efficiency Jian Yang et al…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy logic-based energy management strategy for a novel mechatronics-electro-hydraulic power coupling electric vehicle

Yang¹,

Zhang²,

Hong³

et al. 2021

Preprint

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In order to solve the troubles of electric peak torque and enhance the energy efficiency of electric vehicles, a novel mechatronics-electro-hydraulic power coupling electric vehicle (MEH-PCEV) with low energy consumption is proposed. The hydraulic system and the motor are integrated into a device to simplify the structure, taking the pure electric vehicle as a reference. Simultaneously, a fuzzy logic-based optimization method is proposed for real-time adjustment of the electric torque based on the original rule control strategy. Compared with the pure electric vehicle, the proposed methods can substantially enhance energy utilization and the recovery efficiency of electric energy. Ultimately, the actual driving cycle is analyzed using data acquisition capacity, with the authentic speed as the input signal. The verification results on real-world vehicles demonstrate the consumption rate of the battery state of charge and the electric torque are improved by 7.32% and reduced by 22.24%, respectively. Moreover, this research is expected to provide a reference for the development and engineering applications of the mechatronics-electro-hydraulic coupling systems.

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“…At the same time, the silicon metal sheet cores under different positions of the permanent magnets have not reached saturation, which meets the design requirements. The electromagnetism of the created 3D simulation model was simulated and analyzed [35][36][37], and the operation law of the linear electrodynamic structure at no-load condition underrated working conditions were obtained, as shown in Figure 6. The air gap magnetic density was calculated by the field calculator, and the air gap magnetic density curves of the permanent magnets at different positions were obtained, as shown in Figure 6a.…”

Section: No-load Characteristics Analysismentioning

confidence: 99%

Design Optimization of Electrodynamic Structure of Permanent Magnet Piston Mechanical Electric Engine

2021

Self Cite

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To meet the demand of multiple power requirements, and enhance power utilization, a new type of dual-element electricity unit is designed in this study, which is a permanent magnet piston mechanical electric engine. Based on the analysis method of traditional internal combustion engines and linear generators, the working principle of the engine and the magnetic field distribution in the electrodynamic structure are analyzed, the machine dynamics model and electrodynamics model of the engine are established, then the theoretical evaluation is additionally established using finite elements. Based on this, an optimization model is constructed with the electrodynamic shape dimension as the optimization variable, with the intention of growing the output power. The optimization of the engine electrodynamic shape is executed via the use of the finite aspect approach and the NLPQL optimization algorithm integrated. The results show that the optimized engine output electricity expanded to 8.40 w, which is 18.81% greater than before optimization. An experimental prototype is developed, and the output voltage of the prototype is measured to verify the precept and overall performance of the new structure.

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Research on integration simulation and balance control of a novel load isolated pure electric driving system

Cited by 26 publications

References 33 publications

Control Strategy for Electric Startup of P2.5-PHEV Based on Slope Memory and Driver’s Startup Intention

Control Strategy for Electric Startup of P2.5-PHEV Based on Slope Memory and Driver’s Startup Intention

Fuzzy logic-based energy management strategy for a novel mechatronics-electro-hydraulic power coupling electric vehicle

Design Optimization of Electrodynamic Structure of Permanent Magnet Piston Mechanical Electric Engine

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