Multi-input all-electric vehicle design using a forward simulation software approach

Abstract

This paper describes the modular based system for the design and testing of electric vehicles with user defined physical inputs, which also include steering. The software tool used in the design of the package is the MATLAB/Simulink environment. The focus on this package is the ability of the user to use rapid prototyping techniques to quickly and easily produce accurate results, and to have the option of quickly running further simulations with the minimum of effort. The package can be used across a range of depths in terms of using simplified equations to more technical models which also allow the definition of user defined incline slopes and steering commands. Thus allowing the detailed simulation under a variety of scenarios. The existing software package could also be used as a teaching aid in Universities and its capabilities can be extended by simply incorporating more modules.

Advanced Driver Assistance System Based on IoT V2V and V2I for Vision Enabled Lane Changing with Futuristic Drivability

“…Utilizing these kinds of software-centric systems offers efficient ADAS even for low-cost vehicles in addition to the sophisticated luxury class of the vehicles which improves safety and reaches the industry’s goal for zero vehicle-related accidents, fatalities, and obsolete comfort for drivers. The advanced driver assistance system (ADAS) in an automotive is designed to serve the purpose of cruise control only during initial times, which was then aided with cognitive computing [ 4 ] and sensor clusters used in the emergency brake systems [ 18 ], drive beam, blind spot monitoring, auto parking, lane departure warning and assist to support the driving through increased safety and guidance [ 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ]. The modern systems utilize intercommunication between vehicles, where the pedestrian detection and collision avoidance feature data were shared among vehicles to improve the error-prone systems in critical situations using different architectures such as V2V and V2I integrated with Internet of Things (IoT) structure [ 3 ] taking into consideration the different level security during communication.…”

“…In each generation, several subsystems such as ADAS using VANET protocol-based pedestrian detection with V2X [ 7 ], V2V-based lane change warning system [ 6 ], V2V-based crash detection and warning using vehicle position, context detection [ 23 , 33 ], YOLO (You Only Look Once)-based lane detection system using CSI camera [ 34 ] were developed where each of these systems offered a prominent and essential critical feature for a vehicle drive. Recent research focuses on integrating these subsystems using secure intercommunication with real-time protocols such as DSRC (dedicated short-range communication) and future 5G technologies [ 26 ]. The modern ADAS systems are expected to satisfy both the communication security and ease of using protocols along with the extensive features offered by our ADAS as high as possible.…”