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Connectivity-Driven Energy Optimization

by with No Comment Automation

Energy economization using connectivity-based eco-routing and driving for fleet of battery electric vehicles

Energy economizing using Connectivity-based eco-Routing and Driving (CeRD) is a key to conserve the resources of a fleet. This work takes maximum advantage by advising optimal energy-consumption-based route and velocity. Product delivery to several universities by a group of battery electric vehicles (BEVs) is considered. Problem contains certain constraints, i.e., BEV load capacity, time window, resources restriction, speed bounds, battery charging/discharging limits, and traffic. Simulation of urban mobility (SUMO) is used for the estimation of traffic and routes. Selection of route is based on energy consumption of traffic’s velocity. Dijkstra’s algorithm is applied to select the route with least energy consumption, and Clarke and Wright (C&W) algorithm is used to find the optimal sequence of visiting universities. Pontryagin’s minimum principle (PMP) is then applied to find the optimal velocity profiles for BEVs on the optimized routes. Results have shown 60%–70% reduction in energy consumption along with improvement in charging rates when compared with the vehicles without CeRD assistance in different scenarios. Furthermore, the results are validated for distance and time using online route planner, for energy efficiency using electric vehicles’ database, and for energy consumptions using a driver model. CeRD has also improved 30% route distance and 40% trip time.

https://ieeexplore.ieee.org/abstract/document/10143086

Automation

Longitudinal Sliding Mode Control

by with No Comment AutomobileElectric Vehicles

Longitudinal Cruise Control of a Car using Sliding Mode Approach

From the last few years, there has occur an increase in number of cars, which has badly affected our transport system and specially traffic on the roads. Traffic congestion and traffic accidents are the major concerns due to an increase in number of vehicles. Many efforts have been made in the last few years to improve safety and comfort in vehicular system. One of present focus is intelligent transport system (ITS) to ensure safety and comfort for the passenger. The main focus of this paper is to control the longitudinal dynamics of a vehicle, which make sure that a safe distance is kept between the leading and following vehicle. The major drawback with the existing control techniques is the inability to perform well in the presence of various parameters, which vary with the variation in the external factors like temperature and etc. This paper focuses on the development of a sliding mode control (SMC) for the longitudinal dynamics of automotive vehicle in a platoon system. System response will be observed in the presence of parametric uncertainty. First order and Second order sliding mode is applied and results are compared by comparing chattering in both the cases.

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