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Browsing by Author "Zhang, Yaoming"

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    Co-estimating the state of charge and health of lithium batteries through combining a minimalist electrochemical model and an equivalent circuit model
    (2022-02-01) Xu, Zhicheng; Wang, Jun; Lund, Peter D.; Zhang, Yaoming
    A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
    Accurate estimation of the state of charge (SOC) and state of health (SOH) is a fundamental requirement for the management system of a lithium-ion battery, but also important to the safety and operational effectiveness of electric vehicles and energy storage systems. Here a model-based method is implemented to assess the SOC and SOH simultaneously. An equivalent circuit model is employed to describe the battery dynamics with recursive least squares online identifying model parameters and unscented Kalman filter estimating battery state. A minimalist electrochemical model is proposed to describe the distribution of the lithium content inside the battery relating the SOH to the capacity fading due to irreversible loss of Li. Based on the real-time capacity value, the state of charge could further be estimated. Comparing the experimental results shows that the battery capacity, i.e., SOH could be predicted timely with a mean error around 2%, which confirms the validity of the proposed co-estimation method for SOC and SOH.
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    Estimation and prediction of state of health of electric vehicle batteries using discrete incremental capacity analysis based on real driving data
    (2021-06-15) Xu, Zhicheng; Wang, Jun; Lund, Peter D.; Zhang, Yaoming
    A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
    The accuracy of the state of health (SoH) estimation and prediction is of great importance to the operational effectiveness and safety of electric vehicles. Present approaches mostly employ data-driven analysis with laboratory measurements to determine these parameters. Here a novel method is proposed using discrete incremental capacity analysis based on real-life driving data, which enables to estimate the battery SoH without any prior detailed knowledge of battery internal specifics such as current capacity/resistance information. The method accounts for the battery characteristics. It is robust, highly compatible, and has a short computing time and low memory requirement. It's capable to evaluate the SoH of various type of electric vehicles under different charging strategies. The short computing time and low memory needed for the SoH estimation also demonstrates its potential for practical use. Moreover, the clustering analysis is presented, which provides SoH comparison information of certain EV to that of EVs belonging to same type.
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    A review of the compound parabolic concentrator (CPC) with a tubular absorber
    (2020-01-01) Jiang, Chuan; Yu, Lei; Yang, Song; Li, Keke; Wang, Jun; Lund, Peter D.; Zhang, Yaoming
    A2 Katsausartikkeli tieteellisessä aikakauslehdessä
    The compound parabolic concentrator (CPC) is a highly interesting solar collector technology for different low-concentration applications due to no tracking requirement. The CPC with a tubular absorber is the most common type of CPC. Here, a comprehensive state-of-the-art review of this CPC type is presented, including design features, structure, applications, etc. Key design guidelines, structural improvements, and recent developments are also presented.
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    Status and future strategies for Concentrating Solar Power in China
    (2017-04-01) Wang, Jun; Yang, Xue-Song; Jiang, Chuan; Zhang, Yaoming; Lund, Peter D.
    A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
    China is the world leader in several areas of clean energy, but not in Concentrating Solar Power (CSP). Our analysis provides an interesting viewpoint to China's possible role in helping with the market breakthrough of CSP. We present a short overview of the state-of-the-art of CSP including the status in China. A blueprint for China's CSP development is elaborated based on China's 13th 5-year program, but also on China's previous success factors in PV and wind power. The results of this study suggest that China could play a more prominent global role in CSP, but this would require stronger efforts in several areas ranging from innovation to policies.
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