Abstract
The successful transition of fully electric vehicle into automotive market is plagued with expensive product prices and limited drive range. While manufacturers point to fuel saving benefits, the actual cost savings after the first battery replacement presents negative economics. Hence it is necessary to maximise the fuel saving costs and to prolong the battery life as much as possible. The situation calls for an assistant system which takes into consideration the inherent propulsion system dynamics of electric vehicle in two typical situations – namely city and highway. Here we propose a combination of two systems, first a dynamic programming based acceleration controller for city cycle and second, an eHorizon based ACC system for maximum recuperation on highways. This paper is an extension of papers [1,2] and forms a series which is attributed to the development of a partial or complete “Safe and energy efficient longitudinal vehicle controller”. Such a controller is named “SAGA” - Smart and Green Automated Cruise Control. It is an ecological driver assistance system (eDAS) that adapts the vehicle speed over all its speed range according to a forward vehicle and to road events in a near horizon (legal speed, curves, etc…) with an aim to reduce the energy consumption without compromising on safety.
Highlights
The battery electric vehicle has been here for over a century
The acceleration controller for the city traffic condition is based on a previous version which is defined in depth in [1]
In this paper we have identified two operating domains of the battery electric vehicle propulsion system for the city and highway operating conditions
Summary
The battery electric vehicle has been here for over a century. It once shared the commercial market with its internal combustion and steam engine contemporaries. While battery electric vehicles (BEV) offer transportation by means of clean energy, they are still at a disadvantage due to their limited driving range. Vehicle powertrains are subjected to two different operating environments, namely, city and EVS27 International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium. The BEV powertrain operates in two completely different domains in the city and highway environment. These domains differ with respect to the overall efficiency of the powertrain and the maximum recuperation torque capacity. In the second section of the paper, a brief overview of BEV model is presented This model is used to simulate the results for the energy management strategies.
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