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Virtual Approach for Control System Design: Integrated Simulation of Battery Cooling and Cabin Comfort Circuits to Develop a BEV Thermal Management Control Logic

机译:控制系统设计的虚拟方法:电池冷却和机舱舒适电路的集成模拟,开发BEV热管理控制逻辑

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The automotive industry is following the worldwide vehicle and powertrain electrification trend, which is expected to increasingly grow in next decades. Electrified vehicles represent the main challenge for OEMs and first-tier suppliers which are requested to operate in a relatively new field, facing additional constraints, issues and requirements. A key point for hybrid and electric vehicles design is the proper sizing and control strategy development of the cooling and heating system, which is not only required to maintain the battery within the optimal temperature operating range and guarantee appropriate cooling of the other electrical components, but also to ensure thermal comfort for the passengers. In fact, the battery cooling system must be strictly linked to the AC circuit to guarantee cooling capacity whenever the ambient conditions do not allow passive cooling with conventional radiators, and linked to High Voltage Heater loop to provide fast warm up of the battery when operating in cold climate, thus adding several degrees of complexity to the management and calibration of a HEV/BEV cooling system characterized by different interacting subsystems. In an attempt to address the difficulties arising in the development of cooling systems for electrified vehicles, this paper proposes an effective approach based on CAE methods to speed up and support the system design and control development. A fully-physical 1D model of the battery cooling circuit and HVAC loop - representing a BEV system layout currently under study - is built in GT-SUITE and used as a plant for control strategies development. A robust and comprehensive control logic capable of managing the cooling and HVAC systems under different operating conditions is developed in MATLAB-Simulink and virtually validated by means of a coupled simulation with the GT-SUITE model. Following the normal product development process, the MATLAB-Simulink model could be eventually deployed in a real control unit to assess and furtherly validate the proposed strategy.
机译:汽车工业遵循全球车辆和动力总成电气化趋势,预计未来几十年将越来越多地增长。电气化的车辆代表OEM和第一层供应商的主要挑战,这些挑战要求在相对较新的领域中运行,面临额外的限制,问题和要求。混合动力和电动车辆的关键点是冷却和加热系统的适当尺寸和控制策略开发,这不仅需要在最佳温度操作范围内维持电池,并保证适当冷却其他电气部件,但是还要确保乘客的热舒适度。事实上,电池冷却系统必须严格连接到交流电路,以确保每当环境条件不允许与传统散热器的被动冷却,并连接到高电压加热器环时,以便在操作时提供快速热预热冷气候,从而对由不同交互子系统为特征的HEV / BEV冷却系统的管理和校准增加了几个复杂性。为了解决电气化车辆的冷却系统开发的困难,提出了一种基于CAE方法的有效方法,加速和支持系统设计和控制发展。电池冷却电路和HVAC环路的全物理1D模型 - 代表目前正在研究的BEV系统布局 - 是在GT-Suite中建造的,用作控制策略开发的工厂。在Matlab-Simulink中开发了一种能够在不同操作条件下管理冷却和HVAC系统的强大和全面的控制逻辑,并且通过使用GT-Suite模型的耦合模拟实际上验证。在正常的产品开发过程之后,Matlab-Simulink模型最终可以在实际控制单元中部署以评估和进一步验证所提出的策略。

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