Ruifei Ma

• Doctor of Philosophy
• Tsinghua University

The paper proposes a physics-informed model to predict battery lifetime trajectories by computing thermodynamic and kinetic parameters, saving costly data that has not been established for sustainable manufacturing, reuse, and recycling.

Rapid and accurate state of health (SOH) estimation of retired batteries is a crucial pretreatment for reuse and recycling. However, data-driven methods require exhaustive data curation under random SOH and state of charge (SOC) retirement conditions. Here, we show that the generative learning-assisted SOH estimation is promising in alleviating dat...

Reuse and recycling of retired electric vehicle (EV) batteries offer a sustainable waste management approach but face decision-making challenges. Based on the process-based life cycle assessment method, we present a strategy to optimize pathways of retired battery treatments economically and environmentally. The strategy is applied to various reuse...

Manufacturing complexities and uncertainties have impeded the transition from material prototypes to commercial batteries, making prototype verification critical to quality assessment. A fundamental challenge involves deciphering intertwined chemical processes to characterize degradation patterns and their quantitative relationship with battery per...

Electrochemical Impedance Spectroscopy (EIS) plays a crucial role in characterizing the internal electrochemical states of lithium-ion batteries and proves to be effective for estimating battery states. Traditional EIS measurement, however, requires expensive electrochemical workstations with time-consuming signal injection, especially in low-frequ...

Unsorted retired batteries with varied cathode materials hinder the adoption of direct recycling due to their cathode-specific nature. The surge in retired batteries necessitates precise sorting for effective direct recycling, but challenges arise from varying operational histories, diverse manufacturers, and data privacy concerns of recycling coll...

The internal short circuit (ISC) is one of the main reasons triggering battery thermal runaway. This study proposes and demonstrates that the apparent diffusion coefficient can be employed as a highly sensitive indicator to alarm ISC during battery aging. The intrinsic parameters are identified with terminal voltage input under the simplified pseud...

We develop an adaptive machine-learning framework that addresses cross-operation-condition battery lifetime prediction, particularly under extreme conditions. This framework uses correlation alignment to correct feature divergence under fast-charging and extremely fast-charging conditions. We report a linear correlation between feature adaptability...

Currently, there are few studies on hybrid system charging, and the existing ones rely on many power electronic components to charge lithium-ion battery and supercapacitor, respectively. This paper mainly focuses on the direct parallel charging of lithium-ion battery and supercapacitor, which has simple structure and low cost. However, the capacity...

It is crucial to identify the battery's internal short circuit (ISC) for safety. The study aims to explore the effectiveness of ISC detection methods through battery aging. Two types of method are compared in this work: diffusion coefficient calculation based on electrochemical impedance spectroscopy and conventional internal resistance monitoring...

Battery thermal management system is of great importance, and there are numerous methods at present. Due to spatial efficiency, phase-change materials are particularly welcomed in applying electric tools where extremely high current (10–15 C) and temperature (40 °C) are typical. However, the C-rate and environmental temperature in many studies are...

Purpose With the increasing market share of electric vehicles (EVs), many studies have been devoted to the life cycle assessment (LCA) of lithium-ion batteries. However, current LCA results are diverse, leading to various material compositions, energy densities, and charging/discharging efficiencies. All of these performance indicators can have a s...

The significant energy use and resultant air pollutants emissions from the HVAC system pose grave concerns to the global society. The model predictive control (MPC) approach is found to be an effective and economic way to optimally regulate the operational parameters of the HVAC system. In this study, the authors focus on the control of the ventila...