Dual-pump Control Algorithm of Two-speed Powershift Transmissions in Electric Vehicles
Authors (first, second and last of 6)
Automotive Innovation is dedicated to the publication of innovative findings in the automotive field as well as other related disciplines, covering the principles, methodologies, theoretical studies, experimental studies, product engineering and engineering application.
The main topics include but are not limited to: energy-saving, electrification, intelligent and connected, new energy vehicle, safety and lightweight technologies.
The journal presents the latest trend and advances of automotive technology.
The perception system is one of the most important parts of intelligent vehicles and has developed rapidly in recent years. Accuracy, efficiency, and robustness of perception algorithms like object detection and scene parsing have been greatly improved.
However, developing a robust and certifiable perception system is still challenging. Most perception systems can only work in relatively simple traffic scenarios, such as highways or closed environments, and would possibly fail in extreme conditions with the presence of extreme amounts of outliers due to false detection or sensor malfunction. Hence, the correctness and stability of the perception system in a changeable and unseen environment are still not well-solved. Besides, most of the perception systems are evaluated offline on the given dataset; however, they lack verification in actual scenarios in real-time, which significantly limits the reliability of the perception system. The certifiable perception system is emerging, which can provide formal performance guarantees and real-time assessment of the correctness.
The innovation of battery technology is rapidly and fundamentally changing our transportation system, resulting in an exponential increase in the ownership of battery-powered electric vehicles (EVs). There is no doubt that EVs will dominate the global vehicle market in a foreseeable future. This can be evidenced by political targets set up by different countries. For example, China and Europe aim to have 50 and 30 million EVs on road by 2030, respectively. With the massive market penetration of EVs, it is of great importance to ensure vehicle safety and optimize battery performance, e.g., in fast charging and longevity. Advanced battery management algorithms are demanded to lay a solid foundation for achieving these goals, in which cross-disciplinary knowledge needs to be appropriately and meticulously integrated, including electrical engineering, control theory, electrochemistry, AI, and machine learning.
Automotive Innovation has organized a Special Issue on Automotive Lightweight, published in August 2020 (Volume 3, Issue 3). It brings together articles reflecting the latest advances in the automotive lightweight field. Papers are from world-renowned research teams in China, Germany, Australia and Japan.
In order to expand the influence of this Special Issue, discuss the latest advances of lightweight technology, and promote exchanges and cooperation between academia and industry, AUIN International Symposium on Automotive Lightweight is organized in Yangzhou, China, on September 20, 2020. Please click the link for speech videos: http://auin.chinasaejournal.com.cn/EN/column/item76.shtml