Parameters optimization of two-speed powertrain of electric vehicle based on genetic algorithm

Li, Yuhang; Zhu, Bin; Zhang, Nong; Hao, Peng; Chen, Yongzhong

doi:10.1177/1687814020901652

Cited by 29 publications

(16 citation statements)

References 15 publications

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“…Recently, Han et al [17] presented a systematic framework to optimize the gear numbers, gear ratios, and gearshift schedule in the transmission system for EVs considering several driving conditions. In another study, Li et al [18] conducted parameter optimization of both the electric motor and a two-speed transmission system in an EV. Both research groups used the road inclination to set the dynamic performance target and the upper limit of the gear ratios during the optimization process.…”

Section: Ev Transmission Modelmentioning

confidence: 99%

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Gear Ratio Optimization along with a Novel Gearshift Scheduling Strategy for a Two-Speed Transmission System in Electric Vehicle

2020

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A novel gearshift scheduling strategy has been framed for a two-speed transmission system in electric vehicles that can save energy during hilly driving and frequently changing driving conditions through efficient electric motor operation. Unlike the traditional approach, the proposed gearshift strategy is based on the preferred vehicle speed range, vehicle acceleration, and road grade to ensure desired vehicle performances with minimum energy consumption. Meanwhile, the vehicle speed range is chosen around the electric motor rated speed, and two gearshift schedules in relation to vehicle acceleration and road grade are developed based on the motor torque generating capacity and efficiency. Appropriate gear is selected through a combined assessment of the required vehicle speed, acceleration, and road grade information. A guideline is developed and explained for the primary gearshift schedule. Next, the gear ratios and gearshift schedules are optimized combinedly in a Simulink environment using the gradient descent method and pattern search method on three driving cycles separately. Depending on the driving scenarios, around 4% to 7.5% energy saving has been experienced through optimization, while the gear ratios and gearshift schedule in relation to the road grade are found to be major contributors to the vehicle economic driving compared to that with the gearshift schedule for vehicle acceleration.

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Section: Ev Transmission Modelmentioning

confidence: 99%

“…The maximum step ratio is set to 3.4 based on a study conducted by Zhou et al [9]. Now, GR 1max and GR 2min can be estimated by using Equation (18) i.e.,…”

Section: Boundary Conditions and Constraintsmentioning

confidence: 99%

Gear Ratio Optimization along with a Novel Gearshift Scheduling Strategy for a Two-Speed Transmission System in Electric Vehicle

2020

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“…Parameters optimization of two-speed powertrain of electric vehicle based on genetic algorithm (GA) is considered in [10]. The different GA for a gearbox optimization (internal combustion engines) is used in the paper [11].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Powertrain in EV

Sieklucki

2021

Energies

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The method for preliminary powertrain design is presented in the paper. Performance of the EV is realized by motor torque–speed curve and gear ratio optimization. The typical two-zone mechanical characteristic of a PMSM traction motor is included in the optimization program. The longitudinal vehicle model is considered in the paper. Some examples try to show the calculation possibilities in application to existing vehicles: Tesla Model S and Mini Cooper SE.

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“…Li et al 11 proposed a power train optimization method based on the genetic algorithm, which optimized the drive parameters of the motor while optimizing the transmission ratio, and they formulated dynamic and economical shifting rules. The results showed that when optimizing the transmission ratio and motor drive parameters, a selected performance indicator of the electric vehicle, such as the power, economy, or comprehensive performance, could be improved by formulating a proper shift schedule.…”

Section: Introductionmentioning

confidence: 99%

Transmission ratio optimization of two-speed gearbox in battery electric passenger vehicles

Sun

Chiu

Zuo

et al. 2021

Advances in Mechanical Engineering

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To optimize the power and economic performance of battery electric passenger vehicles, an 8.5-m-long battery electric passenger vehicle was selected as the research subject. The simulated-annealing particle-swarm-optimization (SAPSO) algorithm was applied to optimize the two-speed gearbox and transmission ratio of the vehicle. With the opening of the accelerator pedal and speed as variables, a comprehensive gear shift schedule that considered both the power and economic performance was established. The comprehensive gear shift schedule curve was defined in the model built in the ADVISOR software. The transmission ratio was jointly optimized using the ADVISOR and ISIGHT software, and then the ADVISOR simulation software was used to analyze the economic and dynamic performances corresponding to the optimized transmission ratio. Finally, we compared the power and economic performances of the vehicle before and after transmission ratio optimization, the results of which showed that after the optimization, the maximum speed, climbing gradient, and 0–50 km/h acceleration time of the vehicle were greatly improved, and the driving range was slightly shortened. This enabled performance advantages of the battery electric passenger vehicle by balancing the power and economic performances of the vehicle.

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Parameters optimization of two-speed powertrain of electric vehicle based on genetic algorithm

Cited by 29 publications

References 15 publications

Gear Ratio Optimization along with a Novel Gearshift Scheduling Strategy for a Two-Speed Transmission System in Electric Vehicle

Gear Ratio Optimization along with a Novel Gearshift Scheduling Strategy for a Two-Speed Transmission System in Electric Vehicle

Optimization of Powertrain in EV

Transmission ratio optimization of two-speed gearbox in battery electric passenger vehicles

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