Tags:Electric vehicles, hybrid electric vehicles, mobile robotics, navigation and recharging
Abstract:
Decarbonization and emission reduction from road transport are the main drivers for the electrification of the vehicles. The European regulation for CO2 emissions plans by 2030 a significant reduction to 50 g CO2 emissions per kilometer. This target already requires a massive market introduction of electrified and electric vehicles. Users expectation are the same as for the conventional vehicles: range adapted to specific use cases, usage comfort as good as the state of the art internal combustion engines -powered vehicles, safe parking and infrastructure also with direct connection to charging facilities. The management of the recharging of the batteries for the users is a central question. This article presents an innovative recharging service for the high voltage batteries of the electrified vehicles, provided by a robot. An innovative mobile robot, equipped with energy power system, does the recharging task. The navigation function is central in the design of the mobile robot. The navigation system must create a safe path planning to the vehicle and then ensure an accurate positioning of the mobile robot and safe navigation in its environment. The Localization and Mapping are the fundamental keys to provide the mobile robot with autonomous capabilities. The article presents a recent development and it experimental validation, in the Simultaneous Localization and Mapping method to serve the robot navigation, coupled with an advanced cognitive system. The proposed navigation system uses advances in Mobile Robot Localization and Mapping methods and a LiDAR sensor. The cognition uses deterministic algorithms to fulfil the positioning accuracy, the low cost of the equipment, and easy implementation requirements for industrialization. The experimental results on a mobile robot platform show a distance error lower than 0.7% and an angle error less than 0.5%, promising for the acceptable accuracy of the system.
Development of an intelligent and a cost effective system for simple location of a robot for the charging of electric vehicles