Simulation-Based Vehicle Thermal Management System - Concept and Methodology

Mahmoud, K.G.; Loibner, Engelbert; Wiesler, Bruno; Samhaber, Christof; Kußmann, Ch.

doi:10.4271/2003-01-0276

Cited by 20 publications

(12 citation statements)

References 8 publications

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“…The model receives heat loss data from the human model and then predicts the physiological response of the body, while skin temperature is used to predict thermal and thermal comfort. Mahmoud et al [18] developed three-dimensional simulations of two different manikins (Maria and Till), and studied the effects of different shapes on flow patterns, temperature distribution, equivalent temperature and comfort evaluation by PMV and PPD.…”

Section: Introductionmentioning

confidence: 99%

Study on local thermal sensation and model applicability in vehicle cabin under different driving states

Liu

Zhang

et al. 2020

Heat Mass Transfer

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An experimental study on the dynamic thermal environment and front and rear occupants' local thermal sensation of the vehicle cabin in automatic air conditioning mode under different driving states in summer is conducted. Experimental results show: air temperature, occupant skin temperature and local thermal sensation are all affected by crew position, body part and driving status. Driving increases the heat flux between the vehicle body and the air outside. Driving helps reduce body part differences and improves uniformity of front and rear cabin. Local thermal sensation and local skin temperature show a good linear relationship. But the linear correlation coefficient is affected by crew position, body part, driving state and air conditioning conditions. When the air conditioning system in vehicle cabin adopts the automatic mode, the local thermal sensation under different driving status of the same body part can be unified under the same one exponential function. And the static model is more suitable to describe local thermal sensation than the dynamic model, which means that only need to consider non-uniformity and ignore transient. Substituting the local skin temperature under driving condition into a static model fitted with idle condition can predict the body's local thermal sensation well.

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Section: Introductionmentioning

confidence: 99%

Study on local thermal sensation and model applicability in vehicle cabin under different driving states

Liu

Zhang

et al. 2020

Heat Mass Transfer

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“…The tool was then applied to develop and simulate the strategy of control of an electric cooling system for a 12.7-liter diesel engine. Mahmoud, et al [6] integrated all partial thermal systems: gas circuit, cooling circuit, engine oil circuit, engine structure, underhood flow, and passenger compartment through the utilization of an integrated model composed by 1-D thermal network, 1-D engine simulation, 3-D CFD database and vehicle simulation software for analyzing the thermal behavior of the entire vehicle during different cycles.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of a 2018 F1 Car Cooling System for Silverstone Circuit

Otero¹,

Samuel²

2018

SAE Technical Paper Series

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The thermal management of a Formula 1 car is a challenging task as it involves multiple components, systems and multiple sources of thermal energy. The present work attempts to model a representative F1 car following 2018 F1 regulations directly linked to the cooling systems requirements and performance. The main purpose of this work is to simulate the steady and transient behaviour of the cooling system when the vehicle is in a qualifying lap, and during the entire race, including the wait in the starting grid and the pit stops. This model includes the sub-models representing internal combustion engine, hybrid powertrain, vehicle, driver and an appropriate cooling system composed of radiators, pumps and expansion tanks. This work validates the cooling system of a representative 2018 F1 car for the Silverstone Circuit. This model is capable of simulating the overall thermal performance of the F1 car for sizing the cooling system for most of the F1 circuits. This paper presents a systematic approach followed for modelling a representative F1 car based on 2018 regulations, methods used for deriving appropriate data from various sources, approach used for validating the model and finally the strengths of the validated model for sizing the cooling system.

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“…The concepts of vehicle thermal management (VTM) were firstly applied in the aviation and space industries, then in the 1970s researchers advocated employing it in the vehicle industry too [7,8]. The modern vehicle integrated thermal management (VITM) system can realize rational and comprehensive control over thermodynamic processes in terms of power system integration [9].…”

Section: Introductionmentioning

confidence: 99%

Advances in Integrated Vehicle Thermal Management and Numerical Simulation

et al. 2017

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Abstract:With the increasing demands for vehicle dynamic performance, economy, safety and comfort, and with ever stricter laws concerning energy conservation and emissions, vehicle power systems are becoming much more complex. To pursue high efficiency and light weight in automobile design, the power system and its vehicle integrated thermal management (VITM) system have attracted widespread attention as the major components of modern vehicle technology. Regarding the internal combustion engine vehicle (ICEV), its integrated thermal management (ITM) mainly contains internal combustion engine (ICE) cooling, turbo-charged cooling, exhaust gas recirculation (EGR) cooling, lubrication cooling and air conditioning (AC) or heat pump (HP). As for electric vehicles (EVs), the ITM mainly includes battery cooling/preheating, electric machines (EM) cooling and AC or HP. With the rational effective and comprehensive control over the mentioned dynamic devices and thermal components, the modern VITM can realize collaborative optimization of multiple thermodynamic processes from the aspect of system integration. Furthermore, the computer-aided calculation and numerical simulation have been the significant design methods, especially for complex VITM. The 1D programming can correlate multi-thermal components and the 3D simulating can develop structuralized and modularized design. Additionally, co-simulations can virtualize simulation of various thermo-hydraulic behaviors under the vehicle transient operational conditions. This article reviews relevant researching work and current advances in the ever broadening field of modern vehicle thermal management (VTM). Based on the systematic summaries of the design methods and applications of ITM, future tasks and proposals are presented. This article aims to promote innovation of ITM, strengthen the precise control and the performance predictable ability, furthermore, to enhance the level of research and development (R&D).

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Simulation-Based Vehicle Thermal Management System - Concept and Methodology

Cited by 20 publications

References 8 publications

Study on local thermal sensation and model applicability in vehicle cabin under different driving states

Study on local thermal sensation and model applicability in vehicle cabin under different driving states

Numerical Simulation of a 2018 F1 Car Cooling System for Silverstone Circuit

Advances in Integrated Vehicle Thermal Management and Numerical Simulation

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