Paper Info
Title
Battery-aware energy-optimal Electric Vehicle driving management
Abstract
Recently, Electric Vehicles (EVs) have been considered as new paradigm of transportation in order to solve environmental concerns, e.g. air pollution. However, EVs pose new challenges regarding their Battery LifeTime (BLT), energy consumption, and energy costs related to battery charging. The EV power consumption may be estimated by having the route information and the EV specifications. Also, by having the battery characteristics, the battery capacity consumption and the BLT may be estimated for each route. In this paper, we propose a driving management which uses the above-mentioned information in order to optimize the driving route by being aware of the EV energy consumption, energy cost, and BLT. Our proposed driving management extends the BLT by 16.8% and reduces the energy consumption by 11.9% and energy cost by 12.6% on average, by selecting the optimized route instead of the fastest route.
Year
DOI
Venue
2015
10.1109/ISLPED.2015.7273539
2015 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)
Keywords
Field
DocType
battery-aware energy-optimal electric vehicle driving management,transportation paradigm,environmental concerns,air pollution,battery lifetime,energy consumption,energy costs,battery charging,EV power consumption,route information,EV specifications,battery capacity consumption
Battery capacity,Automotive engineering,System on a chip,Battery aware,Electric vehicle,Computer science,Battery (electricity),Energy consumption,Automotive battery,Power consumption
Conference
Citations 
PageRank 
References 
7
0.48
9
Authors
3
Name
Order
Citations
PageRank
Korosh Vatanparvar113416.20
Jiang Wan2455.63
Mohammad Abdullah Al Faruque362765.35