Thermal Analysis of Cooling System in Hybrid Electric Vehicles

Park, Chanwoo; Jaura, Arun

doi:10.4271/2002-01-0710

Cited by 19 publications

(13 citation statements)

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“…By co-simulation, the ITM behaviors were analyzed under various ambient conditions and vehicle loads [145]. The ITM design for a heavy duty military Series Hybrid Electric Vehicle was conducted by Park [146], which included a vehicle cooling system (VCS), climate control system (CCS) and vehicle powertrain system. Together with research on the heat transfer, fluid mechanics, and thermodynamics, the authors simulated CCS parameter performance, including coolant pumps, fans, radiators, thermostats, and heat sources, to control the battery thermal behavior stably and reliably.…”

Section: Itm For Hybrid Power Sourcesmentioning

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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Section: Itm For Hybrid Power Sourcesmentioning

confidence: 99%

Advances in Integrated Vehicle Thermal Management and Numerical Simulation

et al. 2017

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“…The ECU calculates proper control strategies and the duty cycles of PMW outputs and then drives the fans to the proper speeds. Eventually the system controls the water tank outlet temperature below 85 ∘ C, the intercooler temperature below 40 ∘ C, and the motor temperature below 70 ∘ C. According to literatures [10][11][12], the heat exchanges through a ribbon-tubular radiator can be calculated as the following. The heat transfer area between the coolant and the metal parts of the radiator is…”

Section: The Control System Scheme and Cooling Theoriesmentioning

confidence: 99%

“…where ℎ1 and ℎ2 are the temperatures of hot flow at the inlet and outlet, 1 and 2 are the temperatures of cold flow at the inlet and outlet, respectively, and is a correction factor ranging from 0.95 to 0.98 according to literature [12]. The amount of thermal exchanges through the radiator can be separately calculated on the first heat dissipation surface around the pipes and the second heat dissipation surface around the fins, as below…”

Section: The Control System Scheme and Cooling Theoriesmentioning

confidence: 99%

Development of an Integrated Cooling System Controller for Hybrid Electric Vehicles

Wang

Sun

2017

Journal of Electrical and Computer Engineering

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A hybrid electrical bus employs both a turbo diesel engine and an electric motor to drive the vehicle in different speed-torque scenarios. The cooling system for such a vehicle is particularly power costing because it needs to dissipate heat from not only the engine, but also the intercooler and the motor. An electronic control unit (ECU) has been designed with a single chip computer, temperature sensors, DC motor drive circuit, and optimized control algorithm to manage the speeds of several fans for efficient cooling using a nonlinear fan speed adjustment strategy. Experiments suggested that the continuous operating performance of the ECU is robust and capable of saving 15% of the total electricity comparing with ordinary fan speed control method.

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“…In fact, optimal control problem and optimal sizing problem are largely studied. [15][16][17][18][19][20] presents a methodology to optimize the pump and radiator sizing for a given cooling architecture under packaging and thermal constraints. Park introduced in the optimal problem definition a scaling factor for the pump and the radiator as the variable optimization.…”

Section: Introductionmentioning

confidence: 99%

Optimal HEV cooling system design through a computer-aided virtual development chain

Baysset

Chessé

Chalet

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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To reduce CO2 and pollutant emissions, automotive manufacturers tend to turn increasingly toward electrified powertrains solutions, such as Hybrid Vehicles (HEV). Model Based System Engineering (MBSE) and computational tools are useful to support the development of HEV systems. System architectures need to be investigated to find optimal solutions regarding multiple possible goals constraints (fuel consumption, CO2 emissions, etc.). In this study, a novel global optimization framework is proposed to enable an automated cooling system optimization. The methodology starts with a set of components, design rules, and system requirements to search and automatically generate all the admissible cooling system architectures. System architectures are generated by a concept of decision tree. The decision tree algorithm is coupled to a design rules database to avoid exploring solutions that do not satisfy system requirements. Hydraulic models are automatically built for each system architecture generated to optimize head losses and minimize the pump consumption. For the most interesting solutions, 3D piping geometrical data (lengths, angles, and curve radius) are automatically drawn by a 3D optimization tool. Piping geometrical data are integrated in GT-SUITE thermo-hydraulic simulation models automatically built to evaluate the most interesting cooling system architectures generated. The best candidates are identified by a multi-criteria decision-making strategy. A first case of conventional vehicle cooling system is studied. Results on the given example indicate that the difference of energy consumption on WLTC cycle between the best performing architecture and the worst one is 69%.

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Thermal Analysis of Cooling System in Hybrid Electric Vehicles

Cited by 19 publications

References 0 publications

Advances in Integrated Vehicle Thermal Management and Numerical Simulation

Advances in Integrated Vehicle Thermal Management and Numerical Simulation

Development of an Integrated Cooling System Controller for Hybrid Electric Vehicles

Optimal HEV cooling system design through a computer-aided virtual development chain

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