Degradation Pattern Recognition and Features Extrapolation for Battery Capacity Trajectory Prediction

IEEE Transactions on Transportation Electrification

Published On 2023/11/28

The successful integration of statistical machine learning techniques into battery health diagnosis has significantly advanced the development of transportation electrification. To achieve predictive maintenance of batteries, we propose a comprehensive data-driven approach for battery capacity trajectory prediction based on degradation pattern (DP) recognition and health indicators (HIs) extrapolation. First, two HIs ( Qmean/RVmean ) are extracted from 10-minute sequence data before and after a full charge. Second, an unsupervised learning approach is employed for the early-stage battery DP analysis and clustering. Finally, a long short-term memory (LSTM) network is utilized to construct the HIs extrapolation and capacity prediction models. Multi-task learning (MTL) is implemented to predict HI sequences, enabling simultaneous extrapolation of multiple HIs and the sharing of parameters between different HIs …

Journal

IEEE Transactions on Transportation Electrification

Published On

2023/11/28

Authors

Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

Position

Professor at

H-Index(all)

104

H-Index(since 2020)

72

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

Power Electronics

Smart Batteries

AI

University Profile Page

Zhongwei Deng (邓忠伟)

Zhongwei Deng (邓忠伟)

Chongqing University

Position

College of Mechanical and Vehicle Engineering

H-Index(all)

24

H-Index(since 2020)

24

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

Electric vehicles

Energy storage systems

Battery modeling

Battery management

University Profile Page

Yunhong Che

Yunhong Che

Chongqing University

Position

H-Index(all)

16

H-Index(since 2020)

16

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

Energy Storage Systems

Transportation electrification

Prognostics and Health Management

Battery

University Profile Page

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Remus Teodorescu

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Zhongwei Deng (邓忠伟)

Zhongwei Deng (邓忠伟)

Chongqing University

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Remus Teodorescu

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Aalborg Universitet

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Transportation electrification is a promising solution to meet the ever-rising energy demand and realize sustainable development. Lithium-ion batteries, being the most predominant energy storage devices, directly affect the safety, comfort, driving range, and reliability of many electric mobilities. Nevertheless, thermal-related issues of batteries such as potential thermal runaway, performance degradation at low temperatures, and accelerated aging still hinder the wider adoption of electric mobilities. To ensure safe, efficient, and reliable operations of lithium-ion batteries, monitoring their thermal states is critical to safety protection, performance optimization, as well as prognostics, and health management. Given insufficient onboard temperature sensors and their inability to measure battery internal temperature, accurate and timely temperature estimation is of particular importance to thermal state monitoring. Toward …

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IEEE Transactions on Transportation Electrification

A Novel Electric Vehicle Aggregator Bidding Method in Electricity Markets Considering the Coupling of Cross-day Charging Flexibility

This paper presents a novel method for Electric Vehicle Aggregators (EVAs) to engage in day-ahead and real-time electricity markets, overcoming the issue of cross-day energy gaps of EVAs. Traditional day-ahead bidding processes are usually treated as independent, one-time actions, and fail to consider the continuity of the cross-day energy status of the EV fleet. To tackle this problem, the Endpoint Energy and Power Boundary (EEPB) model is introduced, which is achieved by decomposing each EV charging event into multiple events based on the split points. Then, a two-layer method to determine the optimal split points, i.e., split times and split energy levels, which minimizes the flexibility loss of the EVA, is proposed. Additionally, a novel cross-day bidding method for EVAs, which aligns with the day-by-day bidding process, is proposed. This method utilizes EEPB based on historical EV charging records …

Zhigang Liu

Zhigang Liu

Southwest Jiaotong University

IEEE Transactions on Transportation Electrification

2-DOF Internal Model Direct Power Control Scheme Based on H∞ Theory for Dual Traction Rectifiers with Parameter Perturbations

For dual traction rectifiers (DTR) of high-speed trains, system uncertainties, such as parametric uncertainties, load variations, and external disturbances, may result in significant DC-link voltage fluctuations, degrade the quality of grid currents, and even lead to system instability. While robust control can maintain the robust performance of DTR in a comparatively wide range of parameter perturbations, it ignores the transient performance requirements. Additionally, due to the limitations of the one-degree-of-freedom (1DOF) control structure, it is difficult to consider the tracking and anti-interference performance simultaneously. To this end, a H ∞ based internal model direct power control ( H ∞ IM-DPC) approach is developed. First, a modified dynamic model is established in a stationary frame, and a 2DOF IM-DPC structure is presented. A desired closed-loop transfer function is also added to ameliorate the dynamic …

Jennifer Bauman

Jennifer Bauman

McMaster University

IEEE Transactions on Transportation Electrification

Design and Control of a Multiport Bidirectional Converter for Fuel Cell Range Extended Vehicles with On-board Solar Generation

Though electric vehicles have the benefits of zero tailpipe emissions and convenient overnight charging, other challenges remain such as limited driving ranges, slow refueling while on-the-go, lithium supply issues, and emissions from some sources of electricity generation (e.g., coal). Fuel cell powered vehicles address the refueling time issue, which will also ease range concerns if hydrogen fueling stations are available. Furthermore, on-board solar generation can replace a portion of the vehicle’s grid charging needs and extend driving range. For both options, a smaller battery could be used, meaning less lithium is required. However, the power electronic architecture for such a solar fuel cell range extended vehicle (S-FCREV) would be complex and costly with conventional separate converters. Thus, this paper proposes the first practical multi-port converter that can perform all S-FCREV requirements with a low …

Bo Tian

Bo Tian

University of South Carolina

IEEE Transactions on Transportation Electrification

Thermal Management for Ship Electrification-Approaches for Power Electronic Building Blocks and Power Corridors

This paper presents an overview of thermal management solutions, in support of ship electrification, that are being investigated for power electronic building blocks and their integration into power corridors, both of which are seen as enablers of flexible and reconfigurable power distribution systems in the next generation Navy ships. Air, liquid, two-phase, and indirect cooling approaches are discussed in the context of specific building block configurations built and designed at CPES (Virginia Tech). The paper presents an overview of ongoing efforts towards the design, construction, and testing of cooling technology prototypes.

Wei Han (韩伟)

Wei Han (韩伟)

University of Toronto

IEEE Transactions on Transportation Electrification

Analysis and Elimination of Power Oscillation in Inductive Power Transfer Systems with Active Rectifier

Normally, an inductive power transfer (IPT) system with an active rectifier adopts two controllers, one each for the primary and secondary sides to separately control two converters. However, the frequency out-of-synchronization of two independent controllers will cause periodic power oscillations, which eventually lead to the system breakdown. To achieve frequency synchronization and eliminate power oscillation without any bilateral communications, this paper proposes an approach that autonomously drives bridges of the active rectifier with zero-crossing signal captured from the secondary resonant current. Specifically, this paper provides in-depth analyses of dual-side phase-shift control modes, the transient and steady-state processes of bus voltage establishment in the synchronous rectification, and the power oscillation mechanism caused by random frequency differences of two controllers. Besides, by …

Seunghoon Baek

Seunghoon Baek

Virginia Polytechnic Institute and State University

IEEE Transactions on Transportation Electrification

Engine Vibration Reduction Control in HEV using Average Periodic Delay Repetitive Controller

This paper proposes an engine vibration reduction control in hybrid electric vehicles (HEVs). The proposed method consists of a torque reference generator and an average periodic delay repetitive controller (APDRC). The torque reference generator produces a compensatory torque command synchronized with the phase of the flywheel in the internal combustion engine (ICE) using simple control rules and harmonic torque equations. The APDRC achieves high accuracy current control of the electric motor connected to the ICE to track the torque command containing the fundamental and harmonic components. The proposed method does not rely on any estimator or mechanical model of the HEV powertrain so that it can be universally applied to mass-produced vehicles that adopt the same ICE and electric motor. The experimental results conducted on a 48V mild HEV (MHEV) demonstrate that the proposed …

Yang Li

Yang Li

Chalmers tekniska högskola

IEEE Transactions on Transportation Electrification

Online adaptive model identification and state of charge estimation for vehicle-level battery packs

Accurate state of charge (SOC) estimation of traction batteries plays a crucial role in energy and safety management for electric vehicles. Existing studies focus primarily on cell battery SOC estimation. However, numerical instability and divergence problems might occur for a large-size lithium-ion battery pack consisting of many cells. This paper proposes a high-performance online model identification and SOC estimation method based on an adaptive square root unscented Kalman filter (ASRUKF) and an improved forgetting factor recursive least squares (IFFRLS) for vehicle-level traction battery packs. The model parameters are identified online through the IFFRLS, where the conventional method might encounter numerical stability problems. By updating the square root of the covariance matrix, the divergence problem in the traditional unscented Kalman filter is solved in the ASRUKF algorithm, where the positive …