A Shifting Strategy for Electric Commercial Vehicles Considering Mass and Gradient Estimation

Zheng, Weiguang; Zhang, Junzhu; Wang, Shanchao; Feng, Gaoshan; Xu, Xin; Ma, Qiuxiang

doi:10.32604/cmes.2023.025169

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…Secondly, heavy-duty vehicles usually travel on roads with different gradients, such as mountainous and hilly areas, and launching on different road gradients requires clutch torque to overcome different ramp resistance [31]. Therefore, it is not negligible that the variation of vehicle load and road gradient has a great influence on the launching resistance [32]. However, the current papers investigating clutch torque control during heavy-duty vehicle launching are rarely taking the driver's launching intention, road gradient, and vehicle mass into account.…”

Section: Introductionmentioning

confidence: 99%

Optimal Torque Control of the Launching Process with AMT Clutch for Heavy-Duty Vehicles

Geng,

Liu,

Liu

et al. 2024

Machines

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When launching a heavy-duty vehicle, torque and position control during automatic clutch engagement is critical, and the driver’s intention to launch and changes in the vehicle’s launching resistance make clutch control more complex. This paper analyses the automatic engagement process of automated mechanical transmission (AMT) clutches and proposes an optimal control of the clutch torque for launching heavy-duty vehicles. Firstly, a fuzzy neural network (FNN)-based vehicle launching states recognition (LSR) system is designed for distinguishing the driver’s launching intention and the vehicle’s launching equivalent moment of resistance. Secondly, jerk, friction work, and launching reserve power are taken as the performance indexes for clutch torque optimization, the weight coefficients of each performance index are adjusted according to the LSR results, and the optimal clutch torque is solved by using the minimum value principle based on the shooting method. Finally, simulations and tests are conducted to validate the strategy of optimizing clutch torque, and the impact of torque optimization on the position change during the engagement process is analyzed. The results indicate that under different driver’s intentions, vehicle masses, and road gradient conditions, the jerk, friction work, and slipping time of heavy vehicles during the launching process are improved by applying the optimization strategy.

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Section: Introductionmentioning

confidence: 99%

Optimal Torque Control of the Launching Process with AMT Clutch for Heavy-Duty Vehicles

Geng,

Liu,

Liu

et al. 2024

Machines

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Multi-objective optimization shift strategy for vehicle based on adaptive linear weighted sum method

Wang,

Huang,

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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The shift strategy plays a pivotal role in influencing the power and economy performance of vehicles. In order to improve the adaptability of shift to dynamic driving conditions, this paper proposes a comprehensive shift strategy. This study employs the FMRLS algorithm to establish a model for identifying vehicle mass and road slope and presents a model for altitude identification based on SVM. The comprehensive shift strategy is formulated by using the NSGA-II algorithm to calculate the Pareto front of the shift speeds and determine the power and economy weights for different driving conditions based on the linear weighted sum method in an adaptive manner. The simulation results show that the energy consumption of the comprehensive shift strategy is close to the economy shift strategy under the CHTC-HT condition. Significantly, the maximum difference is 2.97% in acceleration time between the comprehensive and the power shift strategy under plateau condition. Additionally, the comprehensive shift strategy can eliminate cyclic shift on upslope and provide braking force in response to the driver intention to decelerate on downslope, improving vehicle safety, and dynamic adaptability.

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Clutch Torque Optimization for Heavy-Duty Vehicles Starting Based on Intelligent Identification of Driver’s Starting Intention, Vehicle Mass, and Road Grade

Geng,

Liu,

Lei

et al. 2024

Commercial Vehicles

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<div>For heavy-duty vehicles equipped with automated mechanical transmission (AMT), the control of automatic clutch torque is crucial during the start-up process. However, the difficulty of controlling clutch torque is exacerbated by differences in driver’s starting intentions, changes in vehicle mass, and road gradient. Therefore, this article proposes the clutch starting torque optimization strategy based on intelligent recognition of driver’s starting intention, vehicle mass, and road gradient. First, an intelligent recognition strategy is proposed based on the combination of data-driven and onboard transmission control unit (TCU) algorithms, which improves the accuracy of recognizing the driver’s intention to start as well as the vehicle mass and road gradient. Based on the vehicle’s historical state data information, the predictive model is trained offline using a long–short-term memory (LSTM) network to obtain predicted parameter identification results, which are then used to calibrate the computed values of the onboard TCU algorithm. Second, the clutch torque optimization strategy is designed based on the driver’s starting intention, while considering the effects of road gradient and vehicle mass on the clutch starting resistance torque. The weight coefficients of the objective performance function are adjusted according to the driver’s starting intention, and the Pontryagin’s minimum principle (PMP) is used to solve the clutch target torque. Finally, offline data training and real-vehicle testing are performed. The results show that the optimization strategy can effectively reduce the friction work and the degree of impact during the starting process, minimize the clutch slipping time, and improve the smoothness of vehicle starting and driving comfort.</div>

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A Shifting Strategy for Electric Commercial Vehicles Considering Mass and Gradient Estimation

Cited by 3 publications

References 21 publications

Optimal Torque Control of the Launching Process with AMT Clutch for Heavy-Duty Vehicles

Optimal Torque Control of the Launching Process with AMT Clutch for Heavy-Duty Vehicles

Multi-objective optimization shift strategy for vehicle based on adaptive linear weighted sum method

Clutch Torque Optimization for Heavy-Duty Vehicles Starting Based on Intelligent Identification of Driver’s Starting Intention, Vehicle Mass, and Road Grade

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