کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5127236 1489008 2017 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimized operation of hybrid battery systems for electric vehicles using deterministic and stochastic dynamic programming
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
پیش نمایش صفحه اول مقاله
Optimized operation of hybrid battery systems for electric vehicles using deterministic and stochastic dynamic programming
چکیده انگلیسی


- Three controllers for a hybrid battery system are compared.
- The overall drivetrain efficiency is less than 0.6% smaller for the proposed online controller than the results determined with an off-line dynamic programming approach.
- Between 20% and 30% of total energy throughput is provided by the high power battery part.
- Micro cycling on the high energy battery part can be significantly reduced.
- Real-time capability of the on-line approach is validated in a hardware-in-the-loop test bench.

The utilization, dimensioning and operation of hybrid battery systems in all-electric vehicles is addressed in this work. These hybrid battery systems consist of one high power and one high energy lithium-ion battery each. Besides a discussion of the advantages of such a hybridization on battery system level, an insight is given into the dimensioning of the system and related aspects. Moreover, major focus of this paper is dedicated to the energy optimal operation of the hybrid battery system. Therefore, two optimization methods are investigated and applied to the given system and control problem. First the global optimal control solution is derived via dynamic programming. Then a causal controller, which allows for a real-time applicable control of the system, is discussed. A stochastic model of a vehicle's drive missions is introduced and implemented within a stochastic dynamic programming framework. The obtained control laws are applied to vehicle simulations, which include a model of the drivetrain and vehicle chassis. The performance of the controllers is then compared to each other using three driving cycles and two vehicle classes. Finally the causal controller is validated in a hardware-in-the-loop test bench.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Energy Storage - Volume 14, Part 1, December 2017, Pages 22-38
نویسندگان
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