计算技术与自动化
計算技術與自動化
계산기술여자동화
COMPUTING TECHNOLOGY AND AUTOMATION
2014年
3期
27-30
,共4页
电解液密度%支持向量机%交叉验证%参数辨识
電解液密度%支持嚮量機%交扠驗證%參數辨識
전해액밀도%지지향량궤%교차험증%삼수변식
electrolyte density%support vector machine%cross validation%parameter identification
根据铅酸蓄电池在放电过程中内部电化学反应导致外部电特性变化的特点，提出一种基于支持向量机原理的电解液密度辨识模型。利用支持向量机理论非线性回归的特性，简化测量电解液密度的过程，在恶劣环境下检测动力电池的电解液密度更显其优越性。预测实验表明，采用改进的交叉验证预测模型具有泛化能力强、稳定性好的特点，并且在小样本的条件下能达到预期的辨识精度。
根據鉛痠蓄電池在放電過程中內部電化學反應導緻外部電特性變化的特點，提齣一種基于支持嚮量機原理的電解液密度辨識模型。利用支持嚮量機理論非線性迴歸的特性，簡化測量電解液密度的過程，在噁劣環境下檢測動力電池的電解液密度更顯其優越性。預測實驗錶明，採用改進的交扠驗證預測模型具有汎化能力彊、穩定性好的特點，併且在小樣本的條件下能達到預期的辨識精度。
근거연산축전지재방전과정중내부전화학반응도치외부전특성변화적특점，제출일충기우지지향량궤원리적전해액밀도변식모형。이용지지향량궤이론비선성회귀적특성，간화측량전해액밀도적과정，재악렬배경하검측동력전지적전해액밀도경현기우월성。예측실험표명，채용개진적교차험증예측모형구유범화능력강、은정성호적특점，병차재소양본적조건하능체도예기적변식정도。
This paper presents an identification model of electrolyte density,which based on the Support Vector Machine Theory,according to the feature that the chemical reaction of interior electrics leading to the characteristic change of exterior electrics in the discharge process of the lead-acid battery.This model simplifies the process of measuring the electrolyte den-sity by using the nonlinear regression characteristics of the Support Vector Machine Theory,and it works better when meas-uring the electrolyte density of power battery in severe environment.Prediction experiment shows that the improved cross-validation pridiction model is featured by good generalization capability and stability,and can reach the expected identifying accuracy on small sample.
