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UID:pretalx-amfc2026-PLXGXH@modelica.simtek.cc
DTSTART;TZID=CST:20260922T110400
DTEND;TZID=CST:20260922T110500
DESCRIPTION:This session is chaired by:
DTSTAMP:20261004T070803Z
LOCATION:(Electric) Mobility & Buildings (R2003)
SUMMARY:T4S4-Session Chair - Zhixu Chen
URL:https://modelica.simtek.cc/amfc2026/talk/PLXGXH/
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UID:pretalx-amfc2026-8YE79S@modelica.simtek.cc
DTSTART;TZID=CST:20260922T141500
DTEND;TZID=CST:20260922T144000
DESCRIPTION:Low-voltage motors are increasingly used in steering\, cooling\
 , pumping\, and cabin-control subsystems of newenergy vehicles\, and exces
 sive temperature can impair their reliability. This paper develops a compa
 ct Modelica thermal-network model for an external-rotor low-voltage perman
 ent-magnet synchronous motor. The model represents the principal heat sour
 ces\, lumped heat capacities\, and conductive\, convective\, and radiative
  heat-transfer paths. For the tested mass-produced motor\, an end-to-end s
 imulation of 30 min of physical operation completed in approximately 2s. C
 omparison with measured housing temperature for one operating case yielded
  a maximum relative discrepancy of 5.9%\, occurring at the housing-tempera
 ture measurement point. These results indicate that the model is a computa
 tionally efficient reduced-order tool for the motor and operating range st
 udied. Because the experimental comparison is limited to one motor type an
 d one measured temperature location\, accuracy and parameter transferabili
 ty must be reassessed before the model is applied to other motor topologie
 s or cooling arrangements.
DTSTAMP:20261004T070803Z
LOCATION:(Electric) Mobility & Buildings (R2003)
SUMMARY:Thermal Simulation of a Low-Voltage Motor Based on a Thermal Resist
 ance Network - Zhixu Chen\, Bing Yu\, Han Tan\, Haiying Ou\, Xiaodong Xu
URL:https://modelica.simtek.cc/amfc2026/talk/8YE79S/
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UID:pretalx-amfc2026-SXPFPM@modelica.simtek.cc
DTSTART;TZID=CST:20260922T144000
DTEND;TZID=CST:20260922T150500
DESCRIPTION:With the continuous growth in global sales and market penetrati
 on\, electric vehicles are increasingly required to operate under extreme 
 temperatures\, high altitudes\, and humid or saline conditions\, posing su
 bstantial challenges to thermal management. To address this challenge\, th
 is paper proposes a 1D model-based framework for integrated thermal manage
 ment system (ITMS)\, enabling the unified design of modeling\, simulation\
 , and control. A vehicle-level thermal model is developed in Modelica to c
 apture the coupled dynamics of the refrigeration cycle\, cabin\, battery\,
  and motor\, and is driven by driving cycles to simulate diverse operating
  conditions. The functional mock-up interface (FMI) is adopted to bridge t
 he physical simulation model and the co-simulation environment\, establish
 ing a control interface that supports multivariable coordination and facil
 itates the integration of data-driven methodologies\, such as reinforcemen
 t learning (RL). Within this framework\, a RL-based control model is imple
 mented to coordinate the system’s actuators. Under dynamic driving cycle
 s\, we evaluate the learned RL policy against a fixed-parameter baseline a
 nd a rule-based controller. The results validate the feasibility of the pr
 oposed integrated architecture in coupling physicsbased level modeling wit
 h adaptive data-driven control\, providing a systematic approach for therm
 al management design in electric vehicles.
DTSTAMP:20261004T070803Z
LOCATION:(Electric) Mobility & Buildings (R2003)
SUMMARY:Model-Based Thermal Management for Electric Vehicles: Modeling\, Si
 mulation\, and Control - Chengen Li\, Zhixu Chen\, Li Xie\, Xiaohu Wang\, 
 Yuxi Liu\, Yuanhao Piao
URL:https://modelica.simtek.cc/amfc2026/talk/SXPFPM/
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