Vehicle subsystems' energy losses and model-based approach for fuel efficiency estimation towards an integrated optimisation

Abstract

Improvement of passenger cars' energy efficiency has nowadays become crucial for automotive companies. Vehicle energy loss assessment requires experimental procedures; the process is time consuming and expensive, thus virtual methods have been increasingly employed during design process. Model-based approaches have been widely used in vehicle subsystems and components design, however current methodologies focus on specific areas while few attempts to cover the entire vehicle system have been proposed. In this paper vehicle subsystems energy losses are analysed through a comprehensive literature review, simple models are then presented to evaluate subsystems' steady-state performances and efficiency. The different modules are then coupled to simulate the entire vehicle behaviour while facing different driving scenarios and allowing to assess fuel economy and to evaluate the effect of design variations and new technologies.Reference to this paper should be made as follows: Cheli, F., Gobbi, M. and Holjevac, N. (2018) 'Vehicle subsystems' energy losses and model-based approach for fuel efficiency estimation towards an integrated optimisation', Int. J. Vehicle Design, Vol. 76, Nos. he is an Associate Professor at the Department of Mechanical Engineering. He is co-founder of the SmartMechanical Company spin-off. He is author of over 150 publications in international journals or presented at international conferences. His areas of interest cover vehicle design, optimisation of complex systems, experimental mechanics.Nikola Holjevac graduated in Mechanical Engineering in 2014 and he is currently a PhD. candidate both at Politecnico of Milano. His research activity involves vehicle design and optimisation particularly concerning vehicle powertrain.

Estimation of Soil Characteristic Parameters for Electric Mountain Tractor Based on Gauss–Newton Iteration Method

“…Due to the low soil bearing capacity and adhesion capacity in hilly and mountainous areas, it is easy to for wheel sinking and slipping to occur, even causing an inability to drive normally, resulting in the tractor's mobility being reduced, soil structure damage, intensified tire wear, and increased energy consumption, which brings great difficulties to agricultural production [21][22][23][24][25][26]. The fast and accurate identification of wheel soil parameters during tractor operation can realize the predictive control of traction and driving wheel torque, improve the tractor's passability, and, thus, help implement effective path planning and provide a data base for unmanned or intelligent driving.…”