Sökning: L773:2379 8858 > Computationally Eff...
Fältnamn | Indikatorer | Metadata |
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000 | 03965naa a2200457 4500 | |
001 | oai:DiVA.org:kth-330694 | |
003 | SwePub | |
008 | 230630s2024 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3306942 URI |
024 | 7 | a https://doi.org/10.1109/tiv.2023.32853922 DOI |
040 | a (SwePub)kth | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Liu, Tong,c PhD Candidateu KTH,Mekatronik och inbyggda styrsystem4 aut0 (Swepub:kth)u1hdpf6u |
245 | 1 0 | a Computationally Efficient Energy Management for a Parallel Hybrid Electric Vehicle Using Adaptive Dynamic Programming |
264 | 1 | b IEEE,c 2024 |
338 | a print2 rdacarrier | |
500 | a Not duplicate with DiVA 1753630QC 20230704 | |
520 | a Hybrid electric vehicles (HEVs) rely on energy management strategies (EMSs) to achieve optimal fuel economy. However, both model- and learning-based EMSs have their respective limitations which negatively affect their performances in online applications. This paper presents a computationally efficient adaptive dynamic programming (ADP) approach that can not only rapidly calculate optimal control actions but also iteratively update the approximated value function (AVF) according to the actual fuel and electricity consumption with limited computation resources. Exploiting the AVF, the engine on/off switch and torque split problems are solved by one-step lookahead approximation and Pontryagin's minimum principle (PMP), respectively. To raise the training speed and reduce the memory space, the tabular value function (VF) is approximated by carefully selected piecewise polynomials via the parametric approximation. The advantages of the proposed EMS are threefold and verified by processor-in-the-loop (PIL) Monte Carlo simulations. First, the fuel efficiency of the proposed EMS is higher than that of an adaptive PMP and close to the theoretical optimum. Second, the new method can adapt to the changed driving conditions after a small number of learning iterations and thus has higher fuel efficiency than a non-adaptive dynamic programming (DP) controller. Third, the computation efficiencies of the proposed AVF and a tabular VF are compared. The concise data structure of the AVF enables faster convergence and saves at least 70% of onboard memory space without obviously increasing the average CPU utilization. | |
650 | 7 | a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Reglerteknik0 (SwePub)202022 hsv//swe |
650 | 7 | a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Control Engineering0 (SwePub)202022 hsv//eng |
650 | 7 | a TEKNIK OCH TEKNOLOGIERx Maskinteknikx Farkostteknik0 (SwePub)203032 hsv//swe |
650 | 7 | a ENGINEERING AND TECHNOLOGYx Mechanical Engineeringx Vehicle Engineering0 (SwePub)203032 hsv//eng |
653 | a Hybrid electric vehicle | |
653 | a energy management strategy | |
653 | a adaptive dynamic programming | |
653 | a approximated value function | |
653 | a Optimeringslära och systemteori | |
653 | a Optimization and Systems Theory | |
653 | a Industriella informations- och styrsystem | |
653 | a Industrial Information and Control Systems | |
700 | 1 | a Tan, Kaigeu KTH,Mekatronik och inbyggda styrsystem4 aut0 (Swepub:kth)u13ad7fk |
700 | 1 | a Zhu, Wenyaou KTH,Mekatronik och inbyggda styrsystem4 aut0 (Swepub:kth)u11i78hw |
700 | 1 | a Feng, Leiu KTH,Mekatronik och inbyggda styrsystem4 aut0 (Swepub:kth)u1farda5 |
710 | 2 | a KTHb Mekatronik och inbyggda styrsystem4 org |
773 | 0 | t IEEE Transactions on Intelligent Vehiclesd : IEEEg 9:2, s. 4085-4099q 9:2<4085-4099x 2379-8858x 2379-8904 |
856 | 4 | u https://doi.org/10.1109/tiv.2023.3285392y Fulltext |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-330694 |
856 | 4 8 | u https://doi.org/10.1109/tiv.2023.3285392 |
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