Updates

Nov. 2023: 

• Excited to know that our Swedish Research Council (VR) project grant application has been approved. VR is Sweden's largest governmental research funding body and supports research of the highest quality in all scientific fields. Very proud!

• Our paper "Detecting abnormality of battery lifetime from first-cycle data using few-shot learning" has been accepted by Advanced Science, a high-impact, interdisciplinary science journal. We also share the largest known dataset for battery lifetime-abnormality detection. The paper will appear soon. All data and code are shared here.

• We have another guest, PhD student Wendi Guo from Aalborg University. Welcome! 

Sep. 2023: 

• We have a guest researcher Dr. Xin Sui from the Smart Battery Center at Aalborg University. Welcome! 

• We visited CEVT and Polestar. Thanks for your warm hospitality and interesting introduction, Yizhou and Lee! Indeed, we should visit our industrial collaborators more often and connect our research to real-world products as closely as possible. 

• We participated in the EPE ECCE Europe Conference and the Smart Battery Annual Workshop in Aalborg, Denmark. Our talks for the Tutorial "Intelligent BMS": [Artificial Intelligence for Physics-Based Battery Modelling]; [Physics-Based Battery Charging Control for Grid-Connected Studies]. The talk for the Smart Battery Annual Workshop: [What Is Health-Aware Fastest Charging? Bridging Physical Models & ML Provides An Answer]. I was also involved in a panel discussion with Prof. Pavol Bauer from TU Delft, Prof. Kim Guldstrand Larsen and Prof. Remus Teodorescu from AAU. [Photo1, Photo2, Photo3]

Aug. 2023: 

• We participated in two conferences organized by the Swedish Electromobility Center. Our collaborator and guest researcher Chih Feng Lee gave a talk about vehicle-to-grid and our PhD student Godwin Peprah gave a poster presentation about battery thermal modelling. [Photos]

Jul. 2023: 

• Four of our papers are presented at the 22nd IFAC World Congress in Yokohama, Japan, which is the largest conference in automatic control. Check our papers here [Link1, Link2, Link3, Link4]. 

Jun. 2023: 

• Our paper "Co-estimation of state of charge and state of health for lithium-ion batteries based on fractional-order calculus" published in IEEE Transactions on Vehicular Technology in 2018 has received the Best Vehicular Electronics Paper Award of the IEEE Vehicular Technology Society! Thanks to the efforts of all co-authors and to the recognition of the committee! 

• My postdoctoral researcher Dr Xiaolei Bian and I participated in the conference AABC in Mainz, Germany. An excellent conference for batteries, particularly the session Battery Intelligence. [Photo]

• Benedick Strugnell-Lees has recently joined our team as a PhD student. He will work on the project "Optimal usage and properties of battery storage units using 2nd life batteries". Welcome Benedick!

• Our proposed project "Integrating reinforcement learning and predictive control for smart home energy management (SmartHEM)'' is awarded the prestigious Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship! Excited to have the fourth Marie Skłodowska-Curie Fellow join us.

May 2023: 

• Our proposed project, "E-powertrain predictive maintenance using physics informed learning (TEAMING )," to the Staff Exchanges programme of Marie Skłodowska-Curie Actions has been granted. Great thanks to my team members and all the involved partners! 

• Our newly obtained result for physics-based machine learning has been added to arXiv. We propose a novel architecture, termed model-integrated neural networks (MINN), that is able to learn the physics-based dynamics of general autonomous or non-autonomous systems consisting of partial differential algebraic equations (PDAEs). This architecture offers a systematic way to obtain optimally simplified models that are physically insightful, numerically accurate, and computationally tractable simultaneously. 

• Our work on battery ageing prediction using AI is promoted by the Swedish Electromobility Center. Here is the newsletter "AI to predict battery aging in electric vehicles".

• I am thrilled to announce that my PhD student, Yizhou Zhang, defended his licentiate thesis successfully. Congratulations, Yizhou! Here is the thesis.

• I am proud to be involved in organising the IET’s inaugural conference on Energy Storage technologies that will be hosted in Glasgow, UK, on 15-16 November 2023. A warm welcome to your paper submissions and hope to meet you there!

Feb 2023: 

• I'm honored to be one of six internal candidates nominated by our university for the 2023 Wallenberg Academy Fellow, a prestigious grant supporting top young researchers in Sweden. If successful, this will provide valuable resources for my research. The outcome is uncertain, but I'm grateful for the opportunity.

Jan 2023: 

• I gave an invited talk titled "Machine learning for battery health diagnosis and prognosis under arbitrary usage profiles" at the Annual Meeting of Batteries Sweden (BASE).

• Dr Xiaolei Bian gave a guest lecture "Equivalent circuit models and state estimation for batteries" in the Chalmers Battery Course.

• Sep 2022: We are organising two open invited tracks in IFAC 2023 (Yokohama, Japan, July 9-14, 2023) about energy storage systems [Link] and vehicle-to-everything [Link]. The tentative deadline is October 31, 2022. 

• July 2022: Dr Yicun Huang presented our work at the 3rd International Conference on Energy and AI (ICEAI), Belfort, France, and won the Best Presentation Award. Great job and congratulations!

• Mar 2022: I gave the promotion lecture of Associate Professor at Chalmers.

• Mar 2022: Yang, Yizhou, and I attended the Advanced Battery Power Conference in Münster, Germany [Photo]. 

• Mar 2022: Very exciting day! Both our two applications for the prestigious Marie Skłodowska-Curie Fellowships are granted, achieving one at 99.2 and the other at 96.5 out of 100 points. We have three Marie Skłodowska-Curie Fellows in the team now.

• Mar 2022: The GloveBox is delivered to our battery lab. Check the photo!

• Jan 2022: Predicting the ageing and lifetime of batteries onboard EVs is difficult because of various operating conditions and cell-to-cell variations. To address the problem, we used battery data from over 7000 real-world vehicles and developed a very practical prediction model [PDF]. 

• Jan 2022: My application to be promoted to Associate Professor has been approved by both the internal and external review committees.

• Feb, 2021: We are recruiting a PhD student to work on battery thermal control.

• Feb, 2020: We are awarded the prestigious Marie Skłodowska Curie Actions - Individual Fellowship (MSCA-IF). As the experienced researcher, Dr. Yang Li will join us and work on the two-year project. Congratulations! 

• Nov, 2019: My VR (Swedish Research Council) Starting Grant on battery management is approved. The total budget is 2.94 MSEK for four years. 

• Oct, 2019: After her master degree in Electrical Engineering at Chalmers, Yao joins us as a PhD student (project assistant in the 1st month) to work on the adaptive battery modelling project.  Welcome Yao!

• Oct, 2019: Chengqi from Beijing Institute of Technology joins us as a visiting PhD student to work on data-driven battery health prognosis project.  He will stay at Chalmers for 1.5 years. Welcome! 

• Jun, 2019: Our paper "Run-to-run control for active balancing of lithium iron phosphate battery packs" is published in IEEE Transactions on Power Electronics. Check the Link. 

• May, 2019: Our paper "Near-fastest battery balancing by cell/module reconfiguration" is now published in IEEE Transactions on Smart Grid. Congratulations, Weiji! Check the Link. 

• Dec, 2018: Our paper "Kalman filter for adaptive learning of two-dimensional look-up tables applied to OCV-curves for aged battery cells" has been published in Control Engineering Practice (Collaborated with Anton Klintberg and Prof Wik in our automatic control unit and Björn Fridholm from Volvo Cars).