{"title":"Multi-perspective evaluation of a novel powertrain integrating series-parallel and power-split modes: An ultra-rapid hierarchical control approach","authors":"Yunge Zou , Yuxin Zhang , Yalian Yang","doi":"10.1016/j.mechmachtheory.2025.106034","DOIUrl":null,"url":null,"abstract":"<div><div>Power split and series-parallel hybrid transmissions (PSHTs and SPHTs) have become dominant technology approaches to dedicated hybrid transmission (DHT) design. However, evaluating DHTs using traditional dynamic programming methods is time-consuming, and efficiently comparing the performance differences among different DHTs is difficult. Therefore, an advanced ultra-rapid real-time hierarchical control algorithm (URHCA) is proposed with 38,000 times the computational efficiency improvement. To integrate the PSHT and SPHT, a novel synchronizer-shift configuration is designed by fully comparing the effects of adding gears to the engine, motor, and output positions of the PSHT. The differences and intrinsic mechanisms between different architectures, classes (A, B, and C), and driving cycles are simulated and analyzed. The results show that the proposed powertrain can improve acceleration by 38 % compared to the PSHT and reduce energy consumption by 4.88–8.48 % compared to the SPHT for a WLTC cycle, which is a significant advantage. The real-time performance of the proposed URHCA method is validated with real driving cycles and a hardware-in-the-loop (HIL) test. This study provides guidance for the technology path selection and design of PSHTs and SPHTs.</div></div>","PeriodicalId":49845,"journal":{"name":"Mechanism and Machine Theory","volume":"210 ","pages":"Article 106034"},"PeriodicalIF":4.5000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanism and Machine Theory","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0094114X25001235","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Power split and series-parallel hybrid transmissions (PSHTs and SPHTs) have become dominant technology approaches to dedicated hybrid transmission (DHT) design. However, evaluating DHTs using traditional dynamic programming methods is time-consuming, and efficiently comparing the performance differences among different DHTs is difficult. Therefore, an advanced ultra-rapid real-time hierarchical control algorithm (URHCA) is proposed with 38,000 times the computational efficiency improvement. To integrate the PSHT and SPHT, a novel synchronizer-shift configuration is designed by fully comparing the effects of adding gears to the engine, motor, and output positions of the PSHT. The differences and intrinsic mechanisms between different architectures, classes (A, B, and C), and driving cycles are simulated and analyzed. The results show that the proposed powertrain can improve acceleration by 38 % compared to the PSHT and reduce energy consumption by 4.88–8.48 % compared to the SPHT for a WLTC cycle, which is a significant advantage. The real-time performance of the proposed URHCA method is validated with real driving cycles and a hardware-in-the-loop (HIL) test. This study provides guidance for the technology path selection and design of PSHTs and SPHTs.
期刊介绍:
Mechanism and Machine Theory provides a medium of communication between engineers and scientists engaged in research and development within the fields of knowledge embraced by IFToMM, the International Federation for the Promotion of Mechanism and Machine Science, therefore affiliated with IFToMM as its official research journal.
The main topics are:
Design Theory and Methodology;
Haptics and Human-Machine-Interfaces;
Robotics, Mechatronics and Micro-Machines;
Mechanisms, Mechanical Transmissions and Machines;
Kinematics, Dynamics, and Control of Mechanical Systems;
Applications to Bioengineering and Molecular Chemistry