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A题/数值分析检验/Prompt/2.md
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A题/数值分析检验/Prompt/2.md
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TASK: Write a deterministic, language-agnostic specification for TTE computation.
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INPUT DATA:
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- MODEL_SPEC.events and MODEL_SPEC.tte_definition from Prompt 1
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- A simulated time grid t_k = t0 + k*dt, k=0..K
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- Arrays sampled at each grid point:
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V_term[k], z[k], Δ[k]
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METHODOLOGY:
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1) Define event signals:
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gV[k] = V_term[k] - V_cut
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gz[k] = z[k] - 0
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gΔ[k] = Δ[k] - 0
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2) Crossing rule:
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A crossing occurs for event e when g_e[k-1] > 0 and g_e[k] ≤ 0.
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3) Interpolated crossing time for event e:
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t_e* = t[k-1] + (0 - g_e[k-1])*(t[k]-t[k-1])/(g_e[k]-g_e[k-1])
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(If denominator = 0, set t_e* = t[k].)
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4) Multi-event tie-breaking:
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If multiple events cross in the same step, compute each t_e* and choose the smallest.
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If equal within 1e-9, prioritize in this order:
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DELTA_ZERO > V_CUTOFF > SOC_ZERO
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5) Output:
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- TTE_seconds = t* - t0
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- termination_reason
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- termination_step_index k
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- termination_values at t* using linear interpolation for (V_term, z, Δ)
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DELIVERABLES:
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A) “TTE_SPEC” section: the above as precise pseudocode with no ambiguity.
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B) A minimal test suite (exact numeric arrays) containing 3 tests:
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Test 1: voltage cutoff triggers
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Test 2: SOC hits zero first
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Test 3: Δ hits zero first (power infeasible)
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For each test, provide expected outputs exactly (TTE_seconds, reason, t*).
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VALIDATION:
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- Must detect the correct earliest event (by construction of tests).
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- Must reproduce expected t* to within absolute error ≤ 1e-9 in the tests.
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- Must never take sqrt of negative Δ during event evaluation (use sampled Δ).
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OUTPUT FORMAT (strict):
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1) Header line: "TTE_SPEC_v1"
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2) Pseudocode block
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3) "TESTS_v1" as JSON with {tests:[...]} including expected outputs
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No additional text.
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