## What is/are Acceleration Performance?

Acceleration Performance - To explore the fuel economy of the MRHFC vehicle with different batteries, the urban/highway driving cycles in terms of the acceleration performance and the hybrid ratio (HR) of battery power and motor peak power is investigated by an advanced vehicle simulator (ADVISOR).^{[1]}The power of a vehicle can be evaluated by three indicators: maximum speed, maximum grade, and acceleration performance.

^{[2]}Two algorithms are subsequently presented that enable fast evaluation of fuel economy and acceleration performance of hybrid electric vehicle transmission designs, namely the enhanced Power-Weighted Efficiency Analysis for Rapid Sizing and the Rapid Efficiency-based Launching Performance Analysis algorithms.

^{[3]}Objective: To compare the effect of Olympic weightlifting training with traditional strength training on jumping, squatting and acceleration performance in young handball athletes.

^{[4]}Results and analysis: The design in this paper has a good performance in terms of efficiency and acceleration performance.

^{[5]}Variation in fuel average performance (FAP), wheel power (WP) and acceleration performance (AP) due to oxy-hydrogen blending with gasoline is studied and compared with neat gasoline at five different gears.

^{[6]}Simulations verify the acceleration performance of the proposed method.

^{[7]}Acceleration performance of the parallel platform is studied with single GPU, two GPUs, and four GPUs.

^{[8]}Therefore, the multiple electromagnets must be used in order to improve the acceleration performance of the SLA system.

^{[9]}It is found that the electric machine size can be reduced (-16%) without compromising the vehicles top speed and acceleration performance, and with a moderate reduction in energy usage (-1.

^{[10]}) They not only protect the battery, but also improve the starting performance, acceleration performance, and regenerative braking performance of the EVs.

^{[11]}Second, the activators affected the acceleration performance in the following order: NaAlO2, Na2CO3, AlCl3, and Ca(OH)2.

^{[12]}From the simulation findings, acceleration performance, power and energy load profiles, as well as the energy harvesting stages are studied.

^{[13]}This effect causes a considerable loss of acceleration performance.

^{[14]}For FCHEVs to be successful, it is important to improve their fuel economy and acceleration performance.

^{[15]}On the basis of the proposed method, the accuracy of the inductive method for measuring the critical current density and the acceleration performance of the superconducting linear acceleration (SLA) system are numerically investigated.

^{[16]}To ensure the vehicle starts smoothly and to enhance its acceleration performance, a fuzzy controller is used to determine whether the output torque should be constrained.

^{[17]}A practical optimization methodology is proposed that decouples the multi-objective problem into three different control subproblems: a slow dynamic subproblem for fuel economy, a fast dynamic subproblem for acceleration performance and a static optimization subproblem for the top speed performance.

^{[18]}In contrast, speed and acceleration performances at shorter distances (5-m) were better in U15 than in the other age-categories.

^{[19]}The effects of fuel type (chemical reaction mechanism) and numerical scheme resolution on the acceleration performance of the selected parallel algorithm are studied.

^{[20]}The results show that this method can improve the vehicle's acceleration performance, and more effectively inhibit the low adhesion side drive wheel slip.

^{[21]}At the second scheduling stage, we coordinate the subtask scheduling and placement to make full use of the hardware resources of FPGAs and improve the acceleration performance.

^{[22]}Simultaneously, the generalized inertia matrix which can characterize the acceleration performance between joint space and operation space is further separated, and the performance indices including the dynamics dexterity, inertia coupling characteristics, energy transmission efficiency and driving force/torque balance are introduced.

^{[23]}, ethanol-gasoline, n-butanol-gasoline, and 2,5-dimethylfuran (DMF)-gasoline-on fuel consumption, emissions, and acceleration performance were investigated in a passenger car with a chassis dynamometer.

^{[24]}The acceleration performance and gradeability limits were improved by 18% and 10%, respectively, compared to the conventional vehicle.

^{[25]}Assess the potential gain in acceleration performance of a 256‐channel versus 32‐channel receive coil array at 7 T in combination with a 2D CAIPIRINHA sequence for 3D data sets.

^{[26]}We highlight the key features employed by the various techniques for improving the acceleration performance.

^{[27]}In particular, a three-phase, PHEV powertrain co-design problem is solved to simultaneously identify the optimal supervisory control strategies during the acceleration performance and standard duty cycle phases, along with the optimal component designs spanning all phases (acceleration performance, standard duty cycle, and AER performance) such that the vehicle powertrain cost is minimized.

^{[28]}For the sprint-acceleration performance, the velocity-time data, recorded by a high-speed camera, was used to calculate the variables of the horizontal F-V profile (theoretical maximal values of force [HZT-F0], velocity [HZT-V0], power [HZT-Pmax], the proportion of the theoretical maximal effectiveness of force application in the antero-posterior direction [RFmax], and the rate of decrease in the ratio of horizontal force [DRF]).

^{[29]}

## mutual inductance gradient

Therefore, after simulating and comparing, the acceleration performance and efficiency of the matching situation of drive coil current waveform and the mutual inductance gradient waveform can be obtained under limit conditions, and the following results are concluded: 1) the current pulse time is much longer than the mutual inductance gradient time and 2) the current pulse waveform is much smaller than the mutual inductance gradient waveform.^{[1]}

## linear prediction model

In this paper,we firstly analyze the conventional linear prediction model and propose a new speech signal regression linear prediction model based on the linear prediction model algorithm, Type by regression forecasting model to forecast the speech signal processing, can more quickly identity, by the MATLAB simulation results show that the new type regression forecasting model performance than conventional linear prediction model is nearly 200 ms of acceleration performance, and greater effectiveness of improved prediction model, namely the pitch detection in the detection performance of speech waveform change processing, greatly improves the speech recognition rate.^{[1]}

## Sprint Acceleration Performance

PURPOSE This investigation examined the relationships between the isometric mid-thigh pull (IMTP), isometric squat (ISqT) and sprint acceleration performance in track & field sprinters, and to determine whether there are differences between males and females.^{[1]}This study aimed to elucidate whether the peak (maximum) ground reaction force (GRF) can be used as an indicator of better sprint acceleration performance.

^{[2]}The aim of this study was to evaluate the post-activation potentiation (PAP) effects following eccentric overload (EOL) and traditional weightlifting (TW) exercise on standing long jump (SLJ), countermovement jump (CMJ), and 5 m sprint acceleration performance.

^{[3]}Understanding the effect of touchdown distance and ankle joint kinematics on sprint acceleration performance through computer simulataion.

^{[4]}This indicates that strength training focusing on improving early-phase hamstring rate of force development may contribute to enhance sprint acceleration performance in this athlete population.

^{[5]}

## Initial Acceleration Performance

When seeking to improve initial acceleration performance, practitioners may wish to train athletes from a block start to improve horizontal force production.^{[1]}The sprinters and hurdlers coordinated their lower limb and trunk movement in a similar manner throughout the start and initial acceleration phases, which contributes new conceptual understanding of the mechanisms that underpin start and initial acceleration performance.

^{[2]}