Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Fulin Chu"'
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 9, p 414 (2024)
Fuel cell hybrid systems, due to their combination of the high energy density of fuel cells and the rapid response capability of power batteries, have become an important category of new energy vehicles. This paper discusses energy management strateg
Externí odkaz:
https://doaj.org/article/cea7f3a5df4e41b1a36920eb7d54e67f
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 9, p 387 (2024)
To improve the tracking accuracy and robustness of the path-tracking control model for intelligent vehicles under longitudinal and lateral coupling constraints, this paper utilizes the Kalman filter algorithm to design a longitudinal and lateral coor
Externí odkaz:
https://doaj.org/article/3148b3ee4d2e45fba6d2805d062ef1c0
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 7, p 295 (2024)
With the rapid development of autonomous driving technology, estimating and controlling key vehicle state parameters under complex road conditions have become critical challenges. This study combines Unscented Kalman Filtering (UKF) and Sliding Mode
Externí odkaz:
https://doaj.org/article/70848ea7f50f47d2a92d087040c7a97b
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 5, p 182 (2024)
With the rapid development of automobiles, energy shortages and environmental pollution have become a growing concern. In order to decrease the energy consumption of electric vehicles (EVs), this study aims to improve EV efficiency with AMT and dual-
Externí odkaz:
https://doaj.org/article/40a039d234ed4e8299cea7758ff4feb6
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 5, p 185 (2024)
To enhance path tracking precision in intelligent vehicles, this study proposes a lateral–longitudinal control strategy optimized with a Backpropagation (BP) neural network. The strategy employs the BP neural network to dynamically adjust predictio
Externí odkaz:
https://doaj.org/article/92c2b878548e44a0ad066ae97772bb8c