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Model-based Control of Automotive Selective Catalytic Reduction Systems with Road Grade Preview

机译:具有道路坡度预览的汽车选择性催化还原系统的基于模型的控制

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This paper introduces a model-based control method for automotive selective catalytic reduction (SCR) systems with preview information of road grade. SCR systems have been widely adopted in Diesel powered ground vehicles to reduce tailpipe NOnxnemissions. The major control problem is to properly design the ammonia dosing strategy that can efficiently remove NOnxnwithout generating excessive NH3 slip at the tailpipe. While most existing methods only utilize sensor feedback information to design controllers, the SCR controller performance can be improved by incorporating preview of road information such that the controller can act in a proactive fashion and reduce emissions over the whole trip. Road grade impact on vehicle SCR system is investigated in this paper. A corresponding controller with explicit consideration of preview road grade is developed and verified in a simulation environment. Comparison results under the US06 test cycle are presented to demonstrate the efficiency improvement of the proposed controller.
机译:本文介绍了一种基于模型的汽车选择性催化还原(SCR)系统的控制方法,该方法具有道路坡度的预览信息。 SCR系统已在柴油动力地面车辆中广泛采用,以减少尾气NOn x 要求。主要的控制问题是正确设计可有效去除NOn的氨计量策略, x n,而不会在排气管上产生过多的NH3泄漏。尽管大多数现有方法仅利用传感器反馈信息来设计控制器,但可以通过合并道路信息预览来提高SCR控制器的性能,从而使控制器可以主动采取行动,并减少整个行程的排放。研究了道路坡度对车辆SCR系统的影响。在模拟环境中开发并验证了一个明确考虑了预览道路坡度的相应控制器。提出了在US06测试周期下的比较结果,以证明所提出控制器的效率提高。

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