Predictive gear shift control for a parallel Hybrid Electric Vehicle

Ngo, Viet; Hofman, Théo; Steinbuch, M Maarten; Serrarens, A.F.A.

doi:10.1109/vppc.2011.6043185

Cited by 33 publications

(15 citation statements)

References 24 publications

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“…Configuration with single motor and two-speed transmissions (SMTST) [8,9] offers potential for system efficiency improvement owing to the controllable gear ratio. Studies on gear train design, gear shift control, and ratio optimization have been carried out [10][11][12]. Results have confirmed the benefits of the SMTST scheme on economy improvement.…”

Section: Introductionmentioning

confidence: 70%

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Mathematical Methods Applied to Economy Optimization of an Electric Vehicle with Distributed Power Train System

Sun

Gao

2016

Mathematical Problems in Engineering

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This research presents mathematical methods to develop a high-efficiency power train system for a microelectric vehicle (MEV). First of all, to get the optimal ratios of a two-speed gearbox, the functional relationship of energy consumption and transmissions is established using the design of experiment (DOE) and min-max fitting distance methods. The convex characteristic of the model and the main and interactive effects of transmissions on energy consumption are revealed and hill-climbing method is adopted to search the optimal ratios. Then, to develop an efficient and real-time drive strategy, an optimization program is proposed including shift schedule, switch law, and power distribution optimization. Particularly, to construct a mathematical predictive distribution model, firstly Latin hypercube design (LHD) method is adopted to generate random and discrete operations of the MEV; secondly the optimal power distribution coefficients under various LHD points are confirmed based on offline genetic algorithm (GA); then Gauss radial basis function (RBF) is utilized to solve the low-precision problem in polynomial model. Finally, simulation verifications of the optimized scheme are carried out. Results show that the proposed mathematical methods for the optimizations of transmissions and drive strategy are able to establish a high-efficiency power train system.

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Section: Introductionmentioning

confidence: 70%

“…2 ) and out response ( dis ) is a high-degree polynomial, taking sixth-degree polynomial as example as shown in formula (11). Currently, least squares method is most commonly used to obtain the formula coefficients but may have singular matrix problem.…”

Section: Mathematical Model For Energymentioning

confidence: 99%

Mathematical Methods Applied to Economy Optimization of an Electric Vehicle with Distributed Power Train System

Sun

Gao

2016

Mathematical Problems in Engineering

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“…However, few references propose systematic methods to design shift schedule for HEVs. Existing solutions found in the literature are based on heuristic techniques and engineering experiences, such as using the throttle opening and vehicle speed as reference parameters [18][19][20][21]. Due to the high coupling of the power sources in the power-split HEVs, the characteristics and efficiency of the MGs and battery will result in different results from those of conventional vehicles.…”

Section: Introductionmentioning

confidence: 99%

Mode Shift Control for a Hybrid Heavy-Duty Vehicle with Power-Split Transmission

Huang

Chen

et al. 2017

Energies

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Given that power-split transmission (PST) is considered to be a major powertrain technology for hybrid heavy-duty vehicles (HDVs), the development and application of PST in the HDVs make mode shift control an essential aspect of powertrain system design. This paper presents a shift schedule design and torque control strategy for a hybrid HDV with PST during mode shift, intended to reduce the output torque variation and improve the shift quality (SQ). Firstly, detailed dynamic models of the hybrid HDV are developed to analyze the mode shift characteristics. Then, a gear shift schedule calculation method including a dynamic shift schedule and an economic shift schedule is provided. Based on the dynamic models and the designed shift schedule, a mode shift performance simulator is built using MATLAB/Simulink, and simulations are carried out. Through analysis of the dynamic equations, it is seen that the inertia torques of the motor-generator lead to the occurrence of transition torque. To avoid the unwanted transition torque, we use a mode shift control strategy that coordinates the motor-generator torque to compensate for the transition torque. The simulation and experimental results demonstrate that the output torque variation during mode shift is effectively reduced by the proposed control strategy, thereby improving the SQ.

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“…Baraszu and Cikanek demonstrated that during the gearshifting process a motor should provide torque directly to reduce the power interruption time [7]. A combination of Dynamic Programming (DP) and Pontryagin's Minimum Principle (PMP) was utilized in a model predictive controller framework to realize a predictive controller in a receding horizon mode for a PHEV equipped with an AMT [8]. The computational burden and assumption that velocity profile is available ahead limit its application in real-time control.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Shift Coordinated Control Based on Motor Active Speed Synchronization with the New Hybrid System

Yan

Liang

et al. 2017

Shock and Vibration

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Considering the inherent disadvantages that severely affect driving comfortability during the shift process in HEVs, a dynamic shift coordinated control based on motor active speed synchronization is proposed to improve shift quality by reduction of shift vibration. The whole control scheme is comprised of three phases, preparatory phase, speed regulation phase, and synchronization phase, which are implemented consecutively in order. The key to inhibiting impact and jerk depends on the speed regulation phase, where motor active speed synchronization is utilized to reach the minimum speed difference between the two ends of synchronizer. A new hybrid system with superior performances is applied to present the validity of the adopted control algorithm during upshift or downshift, which can represent planetary gear system and conventional AMT shift procedure, respectively. Bench test, simulation, and road test results show that, compared with other methods, the proposed dynamic coordinated control can achieve shifting control in real time to effectively improve gear-shift comfort and shorten power interruption transients, with robustness in both conventional AMT and planetary gear train.

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Predictive gear shift control for a parallel Hybrid Electric Vehicle

Cited by 33 publications

References 24 publications

Mathematical Methods Applied to Economy Optimization of an Electric Vehicle with Distributed Power Train System

Mathematical Methods Applied to Economy Optimization of an Electric Vehicle with Distributed Power Train System

Mode Shift Control for a Hybrid Heavy-Duty Vehicle with Power-Split Transmission

Dynamic Shift Coordinated Control Based on Motor Active Speed Synchronization with the New Hybrid System

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