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A control allocation approach to manage multiple energy sources in EVs

机译:控制分配方法来管理电动汽车中的多种能源

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This article is concerned with the design of an energy management system (EMS) for the hybridization of multiple energy sources (ES's) in electric vehicles, focusing in a particular configuration composed by batteries and supercapacitors (SCs). As a first design step, we investigated an (non-causal) optimal power allocation, targeting the minimization of the energy losses over a complete driving cycle. Albeit the solution obtained with this formulation demands the advance knowledge of the vehicle driving cycle, it also provides a useful benchmark solution to assess the performance of causal EMS's. A more practical EMS is then derived, based on the control allocation (CA) concept. This approach, typically employed in redundant control systems, enable us to address the various objectives and constraints that appear in EMS design problem, such as the DC bus voltage regulation, SC state of charge tracking, minimization of power losses, current and state of charge limits, etc. Simulation results show the effectiveness of the proposed CA based EMS, yielding performances very close to the optimal non-causal power allocation.
机译:本文关注的是用于电动汽车中多种能源(ES)混合的能源管理系统(EMS)的设计,重点是由电池和超级电容器(SC)组成的特定配置。作为第一步设计,我们研究了一种(非因果的)最佳功率分配,其目标是在整个行驶周期内将能量损失降至最低。尽管用此公式获得的解决方案需要对车辆行驶周期有深入的了解,但它也提供了一个有用的基准解决方案来评估因果EMS的性能。然后,基于控制分配(CA)概念,得出了更实用的EMS。通常在冗余控制系统中采用的这种方法使我们能够解决EMS设计问题中出现的各种目标和约束,例如DC总线电压调节,SC充电状态跟踪,功率损耗最小化,电流和充电状态仿真结果显示了所提出的基于CA的EMS的有效性,其性能非常接近最佳的非因果功率分配。

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