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Gearshift schedule map based on the vehicle acceleration.

Gearshift schedule map based on the vehicle acceleration.

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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...

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Context 1
... a buffer zone of 10-40% has been maintained between the downshift line and upshift line that will be further optimized through applying an appropriate optimization method in the later part of this paper.  Following the above steps, primary gearshift schedules in relation to the vehicle acceleration and road grade have been shown in Figures 5 and 6, respectively. ...
Context 2
... control variable í µí±¢ in Equation (14) includes gear ratios i.e., í µí°ºí µí± , and shift factors i.e., í µí±˜ , for both shifting maps in relation to vehicle acceleration and road grade for the upshift and downshift lines, respectively. Shift factors are introduced in such a way that these would optimize the gearshift lines within the middle region of both gearshift schedule maps i.e., around the 30 km/h to 70 km/h speed range of Figure 5 and around the 20 km/h to 80 km/h speed range of Figure 6. Since gear selection is obvious (i.e., either gear 1 or gear 2) on either side of the middle region of both schedules, these areas have been excluded in the optimization process. ...

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... Consequently, dozens of authors have directed their research efforts towards developing gear ratio distribution concepts tailored to modern cars with more powerful engines and transmissions with a greater number of gear ratios [2], [4], [5], [7], [8], [10]. Research findings aimed at clarifying the operation of power units consisting of an electric motor and a singlespeed or multi-speed mechanical transmission appeared concurrently in scientific periodicals [1], [3], [9], [11]. ...
... According to the simulation results, an average reduction in energy consumption over three cycles by 4% relative to energy consumption when simulating movement on the transmission parameters before optimization was established. Also, in another work, the gear ratios of a two-speed gearbox are optimized when simulating the movement of an electric vehicle with NEDC and UDDS driving cycles [9]. It is noted that the simulation result on two driving cycles diverges by no more than 0.02%. ...
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... Recently, Ahssan et al. [22] offered a gearshift strategy that considers both the vehicle speed, acceleration and road grade to select the most appropriate gear. It has been shown that all possible driving conditions can be addressed with this proposed gearshift schedule. ...
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... So apart from optimizing gear ratios, it is wise to consider gearbox automation and the development of an appropriate gearshifting strategy. It is evident that each set of gear ratios corresponds to a specific gearshifting strategy capable of achieving optimal fuel economy (Ahssan et al., 2020). In other words, determining gear ratios and establishing an optimal gearshifting strategy are inherently intertwined when pursuing optimal fuel consumption. ...
... A driving cycle represents the manner in which a vehicle is utilized, encapsulating its speed, acceleration, and path parameters (Achour & Olabi, 2016). At its simplest, it can be understood as the history of motion, specifically the history of a vehicle's speed, acceleration, and road gradient. ...
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Introduction/purpose: Tracked vehicles play a vital role across various domains, from military operations to construction and agriculture. This study focuses on improving the efficiency of tracked vehicles by optimizing both gear ratios and gear-shifting strategies while preserving other performance aspects. Methods: The optimization process involves a genetic algorithm for determining optimal gear ratios, considering performance constraints. Furthermore, the paper introduces a gear-shifting optimization algorithm aimed at enhancing fuel economy to the maximum, while allowing for a valid comparison between two sets of gear ratios. Results: Optimizing gear ratios leads to substantial reductions in fuel consumption, as the engine operates within more efficient regions. Additionally, the optimized gear-shifting strategy further enhances efficiency, resulting in a fuel consumption reduction exceeding 12%, when combined with the optimized gear ratios. Conclusions: This paper offers a direct and robust approach for optimizing powertrain gear ratios and gear-shifting strategies in tracked vehicles. The results demonstrate significant improvements in fuel efficiency without compromising other critical vehicle performance parameters.
... По результатам моделирования установлено среднее по трем циклам снижение энергопотребления на 4% относительно энергопотребления при моделировании движения на параметрах трансмиссии до оптимизации. Также в другой работе проводится оптимизация передаточных чисел двухскоростной коробки передач при моделировании движения электромобиля с ездовыми циклами NEDC и UDDS [9]. Отмечено, что результат моделирования на двух ездовых циклах расходится не более, чем на 0,02%. ...
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... When the transmission systems in EVs are considered, the multi-gear system is a good solution for drivetrain efficiency but this system may cause some complexities such as the selection of suitable gear ratio and suitable shifting, torque interruption during gear shifting, also additional mass and transmission losses. Efficient operation of the electric motor in different driving conditions (such as ramp climbing) can be satisfied with a two-speed transmission structure [8]. ...