Sep 2026· 2026 IEEE 22nd International Power Electronics and Motion Control Conference (PEMC)· pp. 1-8· 0 citations· 32 references
Abstract
This paper investigates how recorded drive-cycle data can support the design and dimensioning of electric drivetrains for off-road applications. A measured wheel-loader duty cycle is analyzed to extract torque–speed distributions, transient operating patterns, efficiency behavior, loss profiles, and thermal behavior. The results show wide operating variations, including rapid direction changes, short high-torque intervals, and transitions between current-limited and voltage-limited regions, all critical for defining drivetrain requirements. Placing the measured operating points on the motor efficiency map and applying the resulting losses to a first-order thermal estimate shows that the examined machine is substantially overdimensioned for this duty cycle, demonstrating how the method exposes such mismatches. Building on this, a system-level modeling framework is presented, consisting of a permanent-magnet synchronous motor loss model with field-oriented control, an inverter loss model with modulation-dependent switching and conduction losses, and thermal models for the motor and inverter, as a basis for evaluating electrical and thermal constraints, loss segregation, and overload capability. This addresses a practical need existing approaches do not fully cover. Standardized cycles such as WLTP focus on light-duty road vehicles and do not represent reversal-heavy profiles of off-road machinery. Road-vehicle optimization frameworks typically target energy and cost without modeling motor and inverter thermal behavior under real loading and rely on standardized cycles rather than recorded off-road data even when addressing system-level trade-offs. The proposed methodology structures how recorded duty-cycle data should guide laboratory testing and model validation, laying the groundwork for a complete simulation environment. As the framework still requires calibration, its current output is best interpreted as indicative trends rather than final dimensioning guidance.
Energy performance in small utility electric vehicles (SUEVs) emerges from coupled interactions among route topology, tire condition, transported load, drivetrain operating point, and battery state. However, integrated experimental analyses of these factors remain scarce, particularly for commercial platforms with limi...
Cristian Monsalve, Juan Pablo Acevedo, Ana Narváez et al.· Applied Sciences· 0 citations
Software-defined electric vehicles have reached micromobility, creating a growing need to evaluate how controller software shapes drive performance and energy use. This requires experimental platforms with quantified emulation fidelity and measurement performance. This paper presents a scenario-based hardware-in-the-lo...
Assem Meghawer, Martin Võip, Mahmoud Ibrahim et al.· Italian National Conference...· 0 citations
As more battery electric vehicles (BEVs) are being introduced, the need for accurate traction motor sizing to achieve optimal performance, energy efficiency, driving range and cost has become more important. The conventional analytical sizing methods are based on worst-case conditions and often result in over- or under...
Shweta S. Suryavanshi, S. Wankhede, P. M. Ghanegaonkar et al.· Energy Storage and Conversio...· 0 citations
Rising vehicle complexity and electrification increase the thermal loads on
automotive components, making reliable temperature models essential for ensuring
thermal operational safety over the vehicle lifetime. Existing approaches
(experimental wind tunnel testing, numerical simulation, and purely data-driven
metho...
Maximilian Kehe, W. Enke, H. Rottengruber· SAE technical paper series· 0 citations
Under harsh operating conditions, the powertrain system of heavy-duty vehicles is subjected to severe impact loads. Restricted by structural space, internal dynamic loads cannot be measured directly, making accurate health status assessment difficult to realize. Therefore, this paper constructs a digital twin (DT) syst...
Liang Yu, Xin-Xing Ao, Cen-Bo Xiong et al.· International Conference on...· 0 citations
Thermal management of hybrid electric vehicle (HEV) powertrains requires the simultaneous conditioning of multiple components operating at fundamentally different temperature levels. For thermal management systems, which directly couple the thermal circuits of the internal combustion engine (ICE), electric motor and in...
Erik Stenger, L. Fiore, N. Weimer et al.· SAE technical paper series· 0 citations
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