Effect of Geared Transmissions on Electric Vehicle Drivetrains

Author(s):  
Qinglian Ren ◽  
David A. Crolla ◽  
Adrian Morris

The paper describes some simple modelling to investigate whether there are potential benefits to incorporating a geared transmission in electric vehicle driveline. The overall conclusion is that considerable benefits in energy consumption are available if a continuously variable gearbox system is incorporated; performance improvements of 6 to 19.2% are predicted over a range of European, USA and Japanese driving cycles. Furthermore, the use of a much simpler, two speed gearbox an improve performance significantly — by for example 9.2% over the NEDC cycle — although similar improvements are not predicted over other driving cycles. Overall, the results suggest not only that direct benefits in terms of energy reductions are obtainable, but also that significant reductions in motor and driveline sizing may be an alternative approach to exploiting the introduction of a transmission system.

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2592
Author(s):  
Iwona Komorska ◽  
Andrzej Puchalski ◽  
Andrzej Niewczas ◽  
Marcin Ślęzak ◽  
Tomasz Szczepański

A driving cycle is a time series of a vehicle’s speed, reflecting its movement in real road conditions. In addition to certification and comparative research, driving cycles are used in the virtual design of drive systems and embedded control algorithms, traffic management and intelligent road transport (traffic engineering). This study aimed to develop an adaptive driving cycle for a known route to optimize the energy consumption of an electric vehicle and improve the driving range. A novel distance-based adaptive driving cycle method was developed. The proposed algorithm uses the segmentation and iterative synthesis procedures of Markov chains. Energy consumption during driving is monitored on an ongoing basis using Gaussian process regression, and speed and acceleration are corrected adaptively to maintain the planned energy consumption. This paper presents the results of studies of simulated driving cycles and the performance of the algorithm when applied to the real recorded driving cycles of an electric vehicle.


Author(s):  
Mohammad A. Rahimi ◽  
Rasoul Salehi ◽  
Aria Alasty

In this paper optimization of energy consumption in an electric vehicle is presented. The main idea of this optimization is based on selecting the best gear level in driving the vehicle. Two algorithms for optimization are introduced which are based on fuzzy rules and fuzzy controllers. In first algorithm, fuzzy controller simulates energy consumption in different gear levels, and chooses the optimum gear level. While in second method, fuzzy controller detects the optimum gear level by measuring the vehicle’s average speed and acceleration. To investigate the performance of these controllers, a model of TOSAN vehicle is developed and the controllers outputs are checked in simulation of TOSAN being driven within drive cycles in the city of Tehran. It is shown that both algorithms are able to improve efficiency in typical city driving cycles.


Author(s):  
Marika Lamanuzzi ◽  
Jacopo Andrea Di Antonio ◽  
Federica Foiadelli ◽  
Michela Longo ◽  
Andrea Labombarda ◽  
...  

2016 ◽  
Vol 9 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Mohammad Gerami Tehrani ◽  
Juuso Kelkka ◽  
Jussi Sopanen ◽  
Aki Mikkola ◽  
Kimmo Kerkkänen

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