EENE: Energy Effective Navigation for EVs
|Coordinator||Volvo Personvagnar Aktiebolag - 97170 Vehicle Propulsion Advanced Engineering|
|Funding from Vinnova||SEK 4 666 000|
|Project duration||January 2019 - December 2022|
|Venture||Effektiva och uppkopplade transportsystem - FFI|
Purpose and goal
The purpose of the project is to develop models, methods and algorithms for more energy efficient navigation of electric vehicles. Among other things, these should consider if it is possible to reach a destination considering battery energy levels and direct the vehicle to a suitable charging station if necessary, which places high demands on computational efficiency. The goal is to initially develop and validate models and algorithms, followed by prototype implementation in test vehicles.
Expected results and effects
Graduated industrial PhD student with dissertation and publications. Prototype of computationally effective navigation system for electrified vehicles, implemented in a drivable demonstration vehicle. Suggestions for standards concerning APIs for charging station data in a navigation context with focus on availability and charging time. Increased industrial competence within development, implementation and evaluation of methods for solving problems related to the areas of Multi-Objective Shortest Path and Constrained Shortest Path.
Planned approach and implementation
The project will be led by Volvo Personvagnar and be performed in cooperation with Chalmers Tekniska Högskola. The project will mainly consist of research conducted by an industrial PhD student, but will also include model and software development, as well as validation of test vehicles in a rig. The project parties will be represented in a steering committee for the project, which will hold regular meetings to ensure project deliveries. The project leader will be responsible for reporting towards Vinnova.