When measuring the unevenness of the pavement, the professional pavement meter or level can be used to measure on the actual pavement to get the unevenness value on the longitudinal section of the pavement, and the large amount of data obtained from the measurement can be imported into the comp...
Value E is predominantly influenced by en. The interval of the obtained values E = 1.946,…, 3.112. Figure 7 Histograms and box plots for fuel injected, turbocharged gasoline engines groups Full size image Table 7 Results of the calculations for fuel injected, turbocharged gasoline engines ...
Different deformation function can be used to establish different models for different transformation. In [39,40], an estimator is used to model the deformation function. In [41,42], a guided locality preservation matching method is proposed to process the matching set with a large proportion of...
A vehicle longitudinal velocity estimator based on a neural network has been presented. The outcomes of this work consist of an analytical function in which the inputs are the typical vehicle dynamic signals: steering angle, lateral and longitudinal acceleration, yaw rate and wheel speeds. These si...
For a speed of 60 km/h, there was an apparent increase in the amplitude value at a preset mass imbalance of 0.04 kg and 0.08 kg at the first harmonic (f1) in the x- and z-directions (Figure 5). The occurring increase in the peak value of the spectrum in harmonics f1, f2, f3 ...
By using model (11), it is possible to establish a set of 𝐶𝛼Cα values that include a nominal value and its deviation within a bounded range, where 𝑘𝑦𝑖kyi is the identified model parameter for a given soft soil and 𝛼∗α* is the lateral slip operating point. On the...
State of charge estimation of battery energy storage systems based on adaptive unscented Kalman filter with a noise statistics estimator. IEEE Access 2017, 5, 13202–13212. [Google Scholar] [CrossRef] Chaoui, H.; Golbon, N.; Hmouz, I.; Souissi, R.; Tahar, S. Lyapunov-based adaptive ...
In this work, and as the main objective, we propose a system for estimating vehicle emissions and fuel consumption. The system is based on a camera sensor placed on strategic roads and an artificial intelligence (AI) algorithm to feed a model-based estimator of fuel consumption and gas emissio...
Such an integrated estimator-based approach is extremely valuable for the development of advanced autonomous systems utilizing AI tools to estimate and predict vehicle behavior for uncertain in nature terrain environments and generate optimal path [2,34,35]. Thus, the main aim of this research was ...
Kim, I.S. Nonlinear State of Charge Estimator for Hybrid Electric Vehicle Battery. IEEE Trans. Power Electron. 2008, 23, 2027–2034. 35. Ting, T.O.; Man, K.L.; Lim, E.G.; Leach, M. Tuning of Kalman Filter Parameters via Genetic Algorithm for State-of-Charge Estimation in Battery...